Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack’s AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR’s impact on business outcomes. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently.

Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do.

We’re looking for a VP of Analytics to build and lead the team that powers how Muck Rack understands its business. This is our first dedicated analytics leadership hire at this level, and it represents an opportunity to shape the function from the ground up, owning the data platform, the metric definitions, and the analytical infrastructure that drives decision-making across every department.

You’ll lead a team of analytics engineers and business analysts, with the analysts embedded directly in departments. Your job is to make sure the entire company is working from the same numbers, that our operating cadences are powered by trustworthy and automated data, and that we are building toward an AI-native analytics experience where stakeholders can access insights on demand.

What makes this role distinctive is that it’s not just about building dashboards and answering data questions. You’ll act as a product manager for the analytics function, deeply understanding the workflows, decisions, and pain points of each business team your analysts serve, and proactively building the data products and tooling that help those teams perform at a higher level. You’ll balance the long tail of ad hoc requests against building the next layer of infrastructure, and you’ll own the prioritization framework that keeps the team focused on the highest-leverage work.

This role reports directly to the COO/CFO.

What you’ll do:

Own the data and metric definitions

• Define and maintain the single source of truth for every business metric at Muck Rack: from ARR and net retention to pipeline conversion and feature adoption
• Own the analytics engineering function: a small, high-leverage team that maintains our dbt project and builds the semantic layer that powers both human and AI-driven analytics and decides how data is modeled, curated and exposed
• Set the AI analytics roadmap: architect the path from today’s dashboard-driven reporting toward a natural language, self-service model where stakeholders can query metrics directly

Lead embedded business analysts as their “product manager”

• Manage and build a team of embedded business analysts each reporting to you while sitting functionally within their business team
• Deeply understand the workflows of each function your team serves. Map out what a CSM does in a given day, week, and quarter. Understand what the best-performing reps do differently. Identify where data and tooling can systematize what great looks like and build it
• Treat each department as a “customer” of the analytics team: understand their use cases, anticipate their needs, and proactively build the data products and dashboards that help them perform, rather than waiting for requests
• Set quality standards and methodology across all analysts to ensure consistency in metric definitions, analytical rigor, and output quality — regardless of which function they’re embedded in
• Build and run the BA community of practice: weekly syncs, peer review, shared learnings, and professional development

Manage the intake and prioritization of analytical work

• Build and operate the prioritization framework that balances the long tail of ad hoc requests against investment in infrastructure, automation, and proactive insight-building
• Be the gatekeeper: protect the team’s capacity for high-leverage work (semantic layer, AI tooling, automated reporting) while ensuring urgent business questions still get fast answers
• Make the trade-offs visible stakeholders should understand what the team is working on, why, and what’s in the queue

Drive the BI and AI analytics strategy

• Evaluate and evolve our BI tooling strategy, with a focus on enabling faster, more flexible report creation without tools and dashboards proliferating unchecked
• Build the semantic layer as the foundation for consistent metric definitions across every consumption layer including dashboards, ad hoc analysis, and AI agents
• Deliver a natural language querying capability that lets executives and operators get quick answers to metric questions without submitting a request

How success will be measured in this role:

• Every department leader says they have better, more reliable data support than they did 6 months ago
• The company operates from a single, trusted set of metric definitions — no more “my number says X but your number says Y”
• Key company input metric readings are automated and delivered on time every week, with minimal manual effort
• The semantic layer covers the top 30+ business metrics and is actively used by analysts and (over time) AI agents
• Ad hoc request turnaround time decreases as self-serve capabilities and proactive analytics increase
• The embedded BA model produces measurable improvements in the functions they serve — better pipeline forecasting, earlier churn identification, more efficient marketing spend
• The team ships AI analytics capabilities (natural language querying, automated variance commentary) that reduce manual reporting burden

If the details below describe you, you could be a great fit for this role:

• 8+ years of progressive analytics leadership experience, including managing both analytics engineers and business analysts at a B2B SaaS company
• Track record of building and scaling embedded or hub-and-spoke analytics models where analysts sit within business functions but report centrally
• Deep understanding of the modern data stack. You’ve worked with dbt, Snowflake (or equivalent), and at least one major BI tool. You have a point of view on semantic layers and how they change the analytics operating model
• Experience acting as a “product manager” for an analytics function, including mapping stakeholder workflows, proactively building data products, and making deliberate prioritization decisions about where the team spends its time
• You’ve managed the tension between ad hoc requests and long-term infrastructure investment, and you have a framework for how to balance them
• Demonstrated ability to partner with and influence C-level and VP-level stakeholders across Sales, Finance, Product, and Customer Success, with strong executive presence and business acumen
• Comfort with AI/LLM-enabled analytics. You don’t need to be an ML engineer, but you should have a clear and informed point of view on how AI changes the analytics function and the ambition to build toward it
• Strong opinions about BI tooling, data quality, and what “self-serve analytics” actually looks like in practice (not just a buzzword)
• You can translate a business question into a data model, and a data model into a business narrative. You’re as comfortable in a board meeting as you are reviewing a dbt pull request
• Alignment with Muck Rack’s core values: Customer Devotion, Resilience, Transparency, Ownership
• Proactively incorporate AI tools into day to day work to improve productively and accelerate delivery

Nice to haves:

• Background in or exposure to media, PR, communications, or content-oriented businesses
• Experience evaluating or leading a BI tool migration (e.g., from Looker to Hex, or from dashboard-heavy to semantic-layer-first architecture)
• Hands-on experience with dbt Semantic Layer, MetricFlow, or similar metric definition frameworks
• Experience building AI-powered analytics tools (text-to-SQL agents, automated reporting, anomaly detection)

Interview Overview

Here’s what you can expect from our process. We’ll keep you informed at every step and let you know if anything changes along the way.

• Intro call with a member of our Talent Team
• A video interview with the CFO/COO
• A case exercise: given a sample business scenario and dataset, walk us through how you would structure the analytics support, prioritize requests, and build toward proactive insight delivery
• Panel interviews with members of the executive team and key cross-functional stakeholders

Travel & Team Engagement Expectations

This role requires up to 10% travel for team collaboration, customer engagements, and company events. As part of our commitment to building strong connections across our fully distributed team, attendance at our annual company offsite (typically held in Mexico) is expected.

Salary

In the US, the on target earnings for this role is $250,000 – $300,000, depending on skills and experience. Total compensation for this role consists of base salary, bonus, and equity. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

Why Muck Rack?

Remote Work, Forever

• Fully distributed team with a permanent remote setup
• Home office stipend, phone and internet reimbursement, coworking membership
• Virtual and in-person team bonding (lunches, events, competitions)

Transparent & Fair Compensation

• Competitive geo-neutral pay in the U.S.
• Annual reviews to ensure equity and market alignment
• Standardized bonus or commission structure
• 401(k) with employer contributions
• Equity opportunities

Health & Wellness

• Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents
• 100% premium coverage for individuals on high-deductible plans
• 24⁄7 Virtual Care and Employee Assistance Program
• Employer-funded HSA contributions and other pre-tax benefits
• Quarterly wellness stipend and free Headspace subscription

Time Off & Family Benefits

• 4+ weeks of PTO, plus paid sick and mental health days
• 13 paid holidays with the option to swap for personal days
• Up to 16 weeks of fully paid parental leave

Learning and Development

• Transparent pathways for internal mobility and promotion
• Bi-annual performance reviews, team workshops, and leadership training
• Unlimited access to Coursera and O’Reilly
• 2 additional PTO days annually for learning and development

Inclusive, Customer-First Culture

• Commitment to equity and valuing diverse perspectives
• Agile, founder-led company focused on collaboration and innovation
• Trusted by 3,000+ companies worldwide

Note: Benefits and compensation reflect offerings for U.S.-based employees. Support is provided for employees in other locations, in compliance with local laws and regulations.

While we are a fully distributed team, we do have limitations on where we can hire and maintain a list of acceptable working locations based on job function. If we are unable to hire in your current location for the role for which you applied, you will be notified via email. While we enjoy many benefits as a permanently distributed and remote company, we cannot always support relocation or extended travel and have guidelines in place to ensure compliant work away from your designated permanent residence.

#LI-Remote

Please note: For detailed information regarding our GDPR and/or CCPA compliance policies, including how we handle personal data and privacy rights, kindly refer to the email correspondence accompanying this application.

Muck Rack does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to Muck Rack will be considered Muck Rack property, and Muck Rack will not pay a fee should it hire the subject of any unsolicited resume.

Muck Rack considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law.

Note to applicants/job seekers: We have recently been made aware of scams impersonating Muck Rack’s HR team. Please be cautious of these attempts to elicit banking or other financial or sensitive information. Muck Rack will never request financial information during the interview process, and follow ups for interviews or next steps will always come from an ‘@muckrack.com’ email address. If you are contacted by anyone from a different domain who claims to be from Muck Rack, please forward the communication to legal@muckrack.com.

Role Overview

We’re looking for a sharp, self-driven Senior Manager to join our growing Trust & Safety team. You’ll own the full fraud lifecycle — from individual order review to designing AI-enabled detection strategies and presenting risk exposure to executive leadership. This is a forward-looking role: you’ll connect the dots across data, drive findings to resolution, and bring new ideas before problems escalate.

You’ll work across Product, Engineering, Decision Science, Compliance, CX, and senior leadership — so translating complex findings into clear, actionable narratives is just as important as finding them.

In this role, you will:

• Own the fraud rule lifecycle — designing, testing, deploying, and continuously optimizing detection rules and thresholds to maximize catch rate while minimizing friction.
• Lead AI-enabled fraud use cases end-to-end: use-case sizing, feature ideation, population analysis, and data quality assessment to ensure solutions are analytically sound and value-accretive.
• Conduct periodic performance reviews of fraud models and rules; drive root-cause investigations to proactively surface risk before it scales.
• Serve as a trusted advisor for AI and ML use cases within fraud, ensuring alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry.
• Evaluate vendor fraud solutions through an analytical lens — assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives.
• Stay current on AI and automation tools and actively explore how they can enhance fraud detection workflows and efficiency.
• Write and maintain intermediate-to-advanced SQL queries to investigate fraud signals, identify connected accounts and orders, and surface emerging patterns.
• Develop and maintain executive dashboards covering fraud review rates, chargeback performance, model effectiveness, and loss trends.
• Translate complex analytical findings into clear, executive-ready narratives — articulating implications for fraud loss, operational efficiency, and customer experience.
• Proactively identify trends and anomalies at both the individual order and systemic level, communicating the full arc of a problem — from discovery to resolution — to any audience.
• Support daily fraud review operations — account verification, order review, escalation handling, SLA adherence, and QA.
• Serve as an internal escalation point for complex cases; assist in coaching the team and continuously improve review processes.
• Partner cross-functionally with Product, Engineering, Compliance, and Legal to align fraud controls with regulatory requirements and product priorities.
• Manage law enforcement requests as needed.

We are looking for:

• 4–6 years in fraud analytics, fraud strategy, or payments risk — ideally within fintech, e-commerce, or a marketplace.
• Demonstrated experience designing and optimizing fraud detection rules or model-driven thresholds.
• Strong SQL proficiency — complex queries from scratch, data troubleshooting, and data storytelling; Snowflake or similar a plus.
• Hands-on experience with order-level fraud review, chargebacks, dispute management, and regulatory compliance.
• Proven ability to build risk reporting and stakeholder dashboards, and present findings confidently to both technical peers and senior leadership.
• Experience with AI-enabled workflows and/or an active interest in applying AI to fraud and risk — including responsible, governance-aligned use.
• Self-starter who synthesizes complex information quickly, drives projects forward without heavy oversight, and connects individual cases to systemic patterns.
• Comfortable in a fast-paced environment where priorities shift as the threat landscape evolves.

GOAT Group uses geographic pay tiers based on the employee’s home state to align compensation with market differences across the U.S.

Hiring Range:

Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets)

$122,900 - $153,600 USD

Tier 2 - (Includes mid-cost markets across the U.S.)

$110,800 - $138,400 USD

Tier 3 - (All other U.S. locations)

$104,500 - $130,600 USD

The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate’s skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information.

Hiring Range:

$104,480—$153,600 USD

GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories. Operating four distinct brands–GOAT, Flight Club, Grailed and alias–GOAT Group has a global community of more than 60 million members across 170 countries.

GOAT is the global platform for the greatest products from the past, present and future. Since its founding in 2015, GOAT has become one of the leading and most trusted sneaker platforms in the world, and has expanded to offer apparel and accessories from select emerging, contemporary and iconic brands. Through its unique positioning between the primary and resale markets, the company offers styles across various time periods on its digital platforms and in its retail locations, while delivering products to over 60 million members across 170 countries.

Established in New York City over 15 years ago, Flight Club revolutionized sneaker retail as the original consignment store for rare shoes. Carrying the rarest exclusives and collectible sneakers, Flight Club has evolved from a one-stop sneaker destination, to a cultural hub for sneaker enthusiasts and novices alike. With three brick-and-mortar locations in New York City, Los Angeles and Miami, Flight Club remains the premier source for authentic, rare sneakers.

Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion. The marketplace was built for enthusiasts, by enthusiasts, and features products from brands including Supreme, Raf Simons, Gucci, Saint Laurent, Balenciaga, Prada and more. With a highly curated selection of resale pieces including inventory exclusive to the platform, Grailed makes fashion accessible.

The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including Park West Asset Management, T. Rowe Price Associates, Inc., Franklin Templeton, Adage Capital Management, Ulysses Management, D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator.

GOAT Group will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, if applicable. By applying, you authorize GOAT Group to send you text messages regarding your job application, interview and/or onboarding process, and other job opportunities at GOAT Group. If you are a California resident, please review our California Privacy Rights Notice for Job Applicants. If you are an EU or UK resident, please review our EU / UK Candidate & Employee Privacy Notice.

Company Description

Bantrel is proud to be a leading provider of Engineering, Procurement, Construction and Construction Management (EPC / EPCM) services in Canada.

For 40 years we have delivered end-to-end solutions for some of Canada’s most challenging and complex energy, mining, infrastructure, and nuclear projects, with an unrelenting focus on safety and quality. Bantrel performs design and procurement services from our primary Calgary, Edmonton and Toronto office locations and delivers construction management and self-perform construction services at various Client sites across Canada.

We operate independently but leverage the global expertise of and provide resources to our affiliate Bechtel Corporation, one of the largest EPC companies in the world, and remain Canadian focused including through our other shareholder, McCaig Investments, a respected local family group of businesses and deep community supporter.  Our private ownership provides long-term business planning and strategic decision horizons supported by a strong financial position.

www.bantrel.com

Bantrel Co.: My Company | LinkedIn

Job Description

Vacancy type: Existing

We are currently seeking a qualified Project Controls Analyst to join our infrastructureteam, based out of Toronto, Ontario. The Project Controls Analyst / Reporting Analyst will be responsible for the timely collection, analysis, summary and issuing of progress reports and other data and information for all the contracts under RSSOM segment. The Rolling Stock, Systems and O&M scope covers the entirety of the Ontario Line and includes four major areas: vehicles, guideway and station systems fit out, traction power and station power, as well as the track and the Operations Maintenance and Storage (OMSF) facility. The scope is unique as it extends beyond the construction phase to cover 30 years of the operations and maintenance of the line. This scope is being delivered through a P3 contract.

Join us in this full time permanent role.

Duties & Responsibilities:

• Executing the reporting process for the contract: Sourcing data from the team and the contractors, assembling required reports, coordinating reviews and approvals by management and timely submission within required deadlines and quality requirements
• Coordinating the review by the management team of reports and data provided by the Contractors and third parties and collating feedback on conformance with contract requirements to support timely responses
• Analysing project controls data to identify trends and produce actionable insights for project management
• Contributing to the development of digital dashboards through definition of dashboard output specs, utilizing PowerBI and championing the use of digital dashboards in the team
• Supporting the data needs for key meetings of the team and the project
• Identifying opportunities to improve the efficiency and effectiveness of reporting and data management

Qualifications

• Relevant bachelor’s degree from an accredited university. Engineering, construction, business or finance degrees is desirable. Construction, project management or project controls related qualifications is desirable. Relevant experience guideline: 5 years.
• Fluent in using Microsoft Word, Excel and PowerPoint, experience with Microsoft Power Apps, PowerBI and Microsoft Forms is an asset.
• Previously held position(s) with responsibility for planning, estimating, cost control, data analysis or reporting on infrastructure projects of similar scope, size and complexity to an urban metro project.
• A general understanding of engineering and construction procedures, principles, and concepts.
• Experience working with teams and stakeholders in the development and delivery of large infrastructure projects. Ability to communicate across different technical disciplines (e.g. engineering, construction, testing & commissioning).
• Strong communication skills (verbal and written).

Additional Information

Why Join Bantrel?

We offer a competitive compensation package, a great learning environment, interesting & challenging work and the opportunity for career advancement.

Base Annual Salary: $100,000 - $125,000 CAD per year (Bantrel provides a competitive compensation package that reflects the skills, qualifications, and experience relevant to the role. The figures shared represent base salary only and do not include other elements of the Total Rewards offering. Final compensation will be determined based on the successful candidate’s experience and alignment with the role requirements.)

Please note: This salary range is specific to this opportunity and location. Similar roles in other locations or projects may have different compensation ranges based on market conditions and role requirements.

• Immediate access to a comprehensive benefits package that provides extended health, dental, vison, prescription coverage and flexible healthcare and personal spending accounts (no waiting period)

• Employer Group RRSP plan with no matching required

• Eligible employees can participate in our Earned Day Off program (EDO) providing alternate Fridays off (based on annual calendar)

• Hybrid remote work program (up to 52 days per year, based on eligibility)

• Explore the many reasons to be part of our team

Our culture is guided by our Mission and Values, these shape how we treat one another, our Clients, and how we achieve excellence. Bantrel has a long and vibrant history of local community involvement, employee volunteerism, and corporate philanthropy. Bantrel encourages applications from people with disabilities.  We are committed to creating an inclusive and accessible environment. Accommodations are available upon request for candidates taking part in all aspects of the recruitment process. Bantrel is committed to fostering an inclusive workplace that welcomes and values Indigenous perspectives. Learn more about our approach to diversity and inclusion here.

As part of the recruitment process, successful clearance of applicable pre-employment checks is required which may include Criminal Background/Police Information check, Drug & Alcohol test, Reference checks as well as submittal of Provincial Driver’s Abstract. Please note only those candidates selected for interview will be contacted - all other resumes will be retained for future consideration.  No phone calls or unsolicited agency resumes please. AI technology is utilized by Bantrel as part of our recruitment process.

ABOUT OUR COMPANY:

The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial.

Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we’ve raised over $135 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, and more.

But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt and we’re just getting started..

ABOUT OUR WORKPLACE:

Splash is remote-first, and proud of it — though our collections team works in-person at our Arizona location.

We spend our days simplifying financial products and getting them into the hands of people who need them most. Right now, we’re focused on building financial technologies that fundamentally transform how the industry lends.

Although Splash has been around since 2013, we still operate like a startup — fast-paced, nimble, and full of heart. We’re good people who care deeply about doing meaningful work and we approach challenges with creativity, passion, and urgency.

And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected — even from afar.

At Splash, everything we do is guided by our values:

Own It – We take full accountability and follow through on commitments.

Raise the Bar – We move fast, innovate faster, and push through barriers.

Say the Hard Thing – We speak up with honesty, respect, and a desire to solve problems and make things better.

Elevate Each Other – We win as a team by lifting each other up.

These values show up in how we work and how we connect — whether we’re collaborating on big projects or bonding over everyday moments. Yes, we even have Slack channels for #kids-and-pets and #food because we believe being human makes us better teammates.

ABOUT THE ROLE:

Splash Financial is looking for a Senior Product Analyst to help us answer the “why” behind customer behavior and product performance. You’ll be the analytical lead of our product organization, owning the experimentation, instrumentation, and insight work that shapes our roadmap and the customer experience. In this role, you’ll design and analyze A/B tests, turning results into clear, compelling stories for both executives and cross-functional partners. You’ll lead our product analytics stack, define the metrics that matter, and build intuitive dashboards that give teams a trusted, self-serve view of product health. You’ll also build a unified customer 360 view that connects acquisition, onboarding, servicing, and outcomes, giving Splash a holistic understanding of our borrowers. Beyond the data work, you’ll own a lightweight research program — customer surveys, NPS analysis, and interview synthesis — ensuring product decisions are grounded in both quantitative rigor and qualitative insight. Sitting at the intersection of

data, product, and customer experience, this role is a critical partner in driving growth and conversion across our portfolio.

WHAT YOU’LL DO AT SPLASH:

• Own experimentation and test analytics:  Design, implement, and analyze A/B and multivariate tests across the product experience, including funnel optimizations to new feature launches
• Build and maintain core product & business dashboards: Develop, automate, and continuously improve dashboards and reporting that track key product, funnel, and customer metrics; make it easy for PMs and leaders to self-serve insights and monitor performance.
• Lead product analytics tooling and instrumentation: Own the roadmap, governance, and best practices for our product analytics stack (event schemas, tracking plans, data quality); partner closely with Product and Engineering to ensure every new feature ships with the right instrumentation and metrics.
• Create and evolve a customer 360 view: Bring together product usage, marketing, servicing data into a holistic view of the customer journey; identify segments, behaviors, and opportunities that drive acquisition, conversion, engagement, and long-term value.
• Translate customer feedback & data into actionable insights: Combine quantitative analysis (funnels, experiments) with qualitative signals (surveys, NPS, interviews, customer service calls and tickets) to surface insights and recommendations that shape product strategy and prioritization.
• Own lightweight customer research programs: Lead customer surveys, NPS programs, and usability interview syntheses; conduct competitive and market analysis; translate qualitative findings into product recommendations that complement quantitative work
• Leverage AI tools to accelerate analysis and insight generation:  Actively use AI-powered tools (e.g.- LLM-assisted data exploration, AI-enhanced analytics platforms) to increase the speed and depth of analysis; help the team develop frameworks for where AI can improve experimentation, personalization, and product decisions

WHAT YOU’LL BRING TO SPLASH:

• 5-8+ years of experience in product analytics, data science, business intelligence, or a related field, preferably in fintech, consumer lending, or a consumer marketplace environment.
• Strong proficiency in SQL and working with relational databases; comfort validating large datasets and joining complex tables. Experience with a scripting language (e.g., Python or R) for deeper analysis, modeling, or automation is a plus.
• Demonstrated experience designing, running, and evaluating A/B tests (or similar experiments) — including hypothesis formation, sample size estimation, guardrails, and clear communication of results and trade-offs.
• Hands-on experience with modern product analytics and BI tools (e.g., Logrocket, Amplitude, Mixpanel, Heap, Looker, Tableau, Mode, etc.), and a track record of building dashboards and self-serve tools that enable others to answer their own questions.
• Familiarity with research methods- survey design, NPS analysis, usability study basics, or competitive intelligence and the ability to extract signal from qualitative data and pair it with quantitative analysis. Experience running or synthesizing customer interviews is a plus.
• Working knowledge of AI/ML tools and how they apply to analytics workflows, including LLM-assisted data analysis, AI-powered product features, and the ability to instrument and measure AI-driven experiences. Comfort using AI tools to accelerate your own work is expected.
• Entrepreneurial, resourceful, and comfortable operating with ambiguity; you identify opportunities, propose solutions, and drive them to completion with limited guidance while maintaining a high bar for quality.

COMPENSATION:

The base salary range for this role is $150,000 to $180,000 annually, based on market data and internal compensation practices. This role may also be eligible for a bonus component tied to individual and company performance. Final compensation will be determined by factors such as location, experience, and skill level.

SPLASHERS ENJOY:

• Fully remote work freedom (for most roles)
• Competitive salary packages
• Flexible PTO + 9 company holidays
• Equity: Share in our start-up success
• Comprehensive and affordable insurance benefits
• Paid parental leave for both caregivers
• Essential modern equipment to get the job done
• Fully paid Claude subscription to supercharge your work
• 401(k) for your future savings
• Quarterly meet-ups: In person & virtual fun
• Awesome Splash swag to flaunt your team spirit

Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.

JOB OFFER & RECRUITMENT SCAM NOTICE

At Splash Financial, we want candidates to feel confident and safe throughout the hiring process. Unfortunately, scammers sometimes pose as employers to trick job seekers into sharing personal information or money.

PLEASE BE AWARE:

• Splash Financial will never ask for payment, banking details, or cryptocurrency as part of our hiring process.
• All legitimate job communications from Splash Financial will come from an @splashfinancial.com email address.
• We do not conduct interviews solely via text message or chat apps.
• Any offer of employment will be made only after a formal interview process and will be sent directly from Splash Financial.

IF YOU RECEIVE A SUSPICIOUS MESSAGE:

• Do not respond or share personal information.
• Do not click on unknown links or download attachments.
• Report the message to careers@splashfinancial.com

Job Description

We’re passionate about using technology to drive sustainability. You too? Join us as a Data Architect for Technology Architecture at Ramboll Tech and help us become the leading Tech-Enabled Partner for Sustainable Change.

We are seeking an experienced and results-driven Data Architect to partner with our Architecture, Engineering and Consulting Global Business Areas, who thrives in aligning technology roadmap and strategies with business goals, to drive growth and operational excellence. If you are passionate about collaborating with business leaders to shape strategies and have data-centric mindset, we want to hear from you.

Join Ramboll Tech to support the formulation of business strategy, outcomes and capabilities and make your mark in Ramboll Global Business Areas. You will be a part of our exciting digital transformation journey and play an active role in taking our consultancy business to the next level to deliver ambitious optimisations and revenue growth targets!

WHAT YOU WILL DO

You will join Technology Architecture in Ramboll Tech. You will be working closely with the Enterprise architects, Product architects, AI & Digital products chapter. You will partner with Data product and platform owners and Innovation and Digital Transformation Directors—who drive digitalisation, innovation, and scaling of digital solutions & products across their respective business domains.

As our Data Architect, you will play a key role in transforming data into a strategic asset, by ensuring it is well-structured, governed and leveraged effectively for business growth.

Your focus will be on delivering value by shaping data architecture, roadmaps, and solutions that directly address the challenges and opportunities of our business areas. This role requires expertise in modern data management and analysis technologies, alongside a deep understanding of corporate data management best practices.

As we operate in Architecture, Engineering and Construction (AEC), you can expect a considerable focus on building Engineering data warehouses (EDWH). We are looking for a candidate eager to engage in applying data-centric principles to EDWH to leverage generating valuable business insights.

Where you will make an impact:

• Business needs: Translate complex business requirements into robust, scalable, and secure data architectures that are aligned with enterprise data strategy and data architecture. We want to unlock new revenue streams and optimise operational efficiency, by leveraging our Enterprise Data Architecture to transform our data into valuable business assets and implement Al-enabled solutions.
• Design and implement modern data architectures: Lead the design and implementation of scalable, robust and secure data systems using modern data stack technologies. Ensure data architecture is aligned with business objectives.
• Improve and ensure the overall quality of data, including ease of access and use of data assets. Define information and data architecture as a part of an overall business and technology strategy. Design and implement integration solutions that connect disparate business systems and data sources to ensure seamless data flow across the organisation.
• Support data platform teams: Work with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting and AI model deployment and execution.
• Data modelling: Design and develop data models that support business processes, analytics and reporting requirements. Ensure that data models are optimised for performance and scalability.
• Technology roadmaps: Actively engage with technology providers to understand critical, data relevant, technology roadmaps. Explore innovative solutions and evaluate their alignment with business goals and enterprise-wide data strategy

Key responsibilities:

• Own and evolve Ramboll Tech’s enterprise data architecture, including data principles, target-state models, and data architecture standards across platforms and products
• Lead the data architectural design transforming the data ecosystems into scalable, AI-ready data products that drive strategic business value and operational excellence
• Accountable to establish, document, and enforce data architecture standards, data modelling guidelines, and best practices across the organisation
• Define and maintain enterprise and domain data models
• Shape data products, contracts, and interoperability patterns
• Guide data platform usage (e.g. DWH / EDWH/ Fabric / analytics layers)
• Ensure that integration points adhere to strict data protection standards across multi-geo environments.
• Implement frameworks for data lineage, data cataloging, and automated observability to ensure trust and reliability in data pipelines
• Design and implement integration solutions that connect disparate business systems and data sources to ensure seamless data flow across the organisation.
• Maintaining repositories for representing the data elements including the entities, relationships and attributes, the information flows, and business glossary
• Contribute to architectural governance by reviewing datarelated designs, guiding teams, and ensuring alignment with Ramboll’s target architecture.
• Collaborate closely with data governance teams to embed data quality, security, and compliance (e.g., GDPR) directly into data integration pipelines and architectural designs.
• Work closely with cross-functional teams, including business stakeholders, product owners, data scientists, data engineer and other SME colleagues in Ramboll Tech, to understand data requirements and deliver solutions that meet business needs.
• Work with enterprise architects, product architects, developers and engineers to operationalise data architecture and build robust and scalable technology stacks and platforms for digital and analytic solutions
• Continuously evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of data engineering processing

HOW YOU WILL SUCCEED IN YOUR ROLE

Key Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience:

• 5+ years of professional experience in data architecture, with a strong focus on cloud architecture, data integration and data modelling.
• Deep understanding of the modern data stack and its components.
• Previous engagement in establishing data architecture and data governance.
• Experience in leading data modelling, database design, data warehousing, master data management, data governance practices. Strong skills in data modelling, ETL processes and data integration, having worked with data platform teams.
• Experience in securing and protection of sensitive information
• Experience in AEC industry is great to have.
• Developed data pipelines to extract, transform, and load engineering platform data for analysis and reporting.
• Experience in implementing decentralized data products within a Data Mesh architecture
• Proven experience with cloud platforms such as Microsoft Azure, GCP or AWS.

Skills:

• Exceptional analytical and problem-solving skills with the ability to design innovative solutions to complex data challenges.
• Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Data Governance, Metadata Management, Master Data Management.
• Skilled in leading the lifecycle of production-grade data products, from conceptual modelling to deployment and continuous optimization
• Familiarity with the DAMA Data Management Framework (DAMA-DMBOK) and its application in managing data as a strategic asset
• Understanding of engineering platforms and data integration with engineering systems (Great to have skill)
• Advanced knowledge of data modelling tools, data lakes, SQL, and pipeline design
• Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders
• Proficient in Microsoft Fabric platform (Great to have skill)
• Relevant certifications in cloud technologies are a plus, such as: Data Engineering certifications, Databricks certifications

We encourage you to apply even if your profile does not meet all the requirements for the role. We are looking for a diverse range of experiences, skills, and interests to enrich our team.

WHAT DEFINES US: CURIOSITY, OPTIMISM, AMBITION, EMPATHY

Our team at Ramboll Tech is currently on a steep growth trajectory while maintaining a strong team culture and delivering solutions to our colleagues and clients.

1. We are curious about other people and their motivations; about new business models and technologies; about each other and the future.

2. We are optimistic, focusing on solutions rather than problems; we plan for success and are willing to take calculated risks instead of playing it safe.

3. We are ambitious, setting our own standards higher than others’ expectations, and we celebrate each other’s successes.

4. We are empathetic, taking ourselves, others, and each other seriously without prejudgment, and we help each other and our clients, colleagues, and the world.

HOW WE WORK AS A TEAM

Our team culture is crucial to us; that’s why we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another. We value diversity, and although we’re not perfect, we regularly engage in open discussions about how we can improve in this area.

Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for our global teams and individuals, with as much autonomy as possible.

ABOUT RAMBOLL

Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll employs more than 18,000 people globally across 35 countries. Ramboll experts deliver innovative solutions across Buildings, Transport, Water, Environment & Health, Energy, Management Consulting, and Architecture & Landscape.

AND WHAT DOES RAMBOLL TECH / GBA INNOVATION AND DIGITAL TRANSFORMATION DO

Ramboll Tech / GBA Innovation and Digital Transformation accelerates innovation and digital transformation for the entire Ramboll Group/ GBA and directs all AI initiatives within the company. We digitally enable and co-create with Ramboll’s world-class experts to deliver solutions that drive sustainable change for our clients and society. This includes collaborating with Global Business Areas and Enabling Functions at Ramboll on their digital journey, developing proprietary AI and digital products for Ramboll and our clients, following our product life cycle. Ramboll Tech also works on larger technology projects within Ramboll and provides world-class Technology Operations. Ramboll Tech currently has over 300 employees globally, with strongholds across Nordics, Germany, the USA, and India. We are looking to quickly expand in key areas across Europe and the globe.

IMPORTANT INFORMATION

• We don’t require a cover letter—just send us your current CV (preferably without a photo) through our application tool, and we’re eager to get to know you better in a conversation.

Do you have any questions? Feel free to contact Florence Henriet on [email protected]

At PPRO, our mission is to simplify access to local payment methods and our vision is to enable the sale of goods and services to anyone in the world using their preferred way to pay. We empower partners such as Ant Group, PayPal and Stripe to access new markets, connect with more customers, and accelerate their growth.

Our strength lies in our diverse global team with 50+ nationalities and 10+ international locations- all united around one goal – to deliver the best possible products and services to our partners and customers. While our company mission is to keep innovating global commerce, our internal mission is to #chooseaction, #beopen, #thinkcustomer, #gofurther and #wintogether

The Purpose:

As a Product Data Analyst (L3) in PPRO’s Cards/Local Payments Domain, you will support data-driven decision-making by analyzing product, customer, and operational data. Working with Product Managers, Engineers, and Commercial teams, you will help build reports, support experiments, and deliver insights that improve customer experience and business performance.

This role is ideal for early-career analysts looking to grow their analytical, technical, and cross-functional collaboration skills, with opportunities to progress into Product Management, Data Engineering, or advanced analytics roles.

What You Will Be Doing

• You will help develop analytical frameworks to measure product success and improve performance.

• Work with Engineering to  support data tracking, quality, and infrastructure for more robust analytics.

• Participate and learn about A/B testing strategies, ensuring experiments are structured, statistically sound, and drive meaningful decisions.

• Develop predictive models and advanced analytics to anticipate trends and inform decision-making.

• Provide data-driven recommendations that optimize conversion rates, payment success, and customer experience.

What Success Looks Like

• Optimized product performance through well-defined metrics and actionable insights.

• Increased conversion rates and payment success rates driven by data-backed strategies.

• Seamless integration of data analytics in product development and decision-making.

• Adoption of experimentation and forecasting frameworks that drive product improvements.

• Stronger cross-functional collaboration between analytics, product, and engineering teams.

What We Are Looking For

• Analytics Expertise: Knowledge in applying statistical methods to generate insights.

• SQL Proficiency: Ability to write complex queries and optimize data extraction for efficient analysis.

• Experimentation & A/B Testing: Knowledge in designing and analysing experiments to measure feature impact.

• Business Acumen: Understanding of how data impacts customer behavior, conversion, and revenue.

• Data Visualization Skills: Hands on with any visualisation tool like:  Looker, Tableau, Google Data Studio, or similar tools.

• Cross-Functional Collaboration: Ability to work closely with Product, Engineering, and Commercial teams.

What we offer:

Hybrid working - We offer a hybrid structure with a 3 days / week on site expectation, so you can strike the balance between office and home working. In addition to our 30-day holiday allowance, we also provide a work from abroad policy, enabling employees to work remotely for up to another 30 days per year.

Learning and Development - We offer a 3,000 BRL annual budget to support your professional growth—because investing in your development benefits us all. In addition, we provide leadership cafés, on-the-job training, and other opportunities to help you grow your skills and thrive in your role.

Insurance - Because better safe than sorry - we want our employees to benefit from  various insurances including life insurance, health insurance + dental plan and travel insurance.

Meal vouchers - BRL 54/ day -  Enjoy a moment of conviviality and a good and balanced meal thanks to your meal vouchers. You will also have the choice between meal allowance, supermarket voucher or both (splitting the total value in two)

Enhance Family Leave - We understand the importance of family - that’s why we offer enhanced family leave to support you during key life moments.

Transportation Voucher - we will cover your costs of commute!

Gym membership - PPRO helps contribute towards the costs of your gym membership, supporting your physical fitness journey while easing the burden on your wallet

New Value (Deals & Coupon Platform) - Get attractive discounts to restaurants, stores and events

Mental Health Platform - We’ve teamed up with a top well-being platform to provide one-on-one therapy, chat therapy, therapist-led courses, guided meditations, and more.

SESC -  private institution that makes available Education, Health, Culture and Recreational programs and events and provides Social Assistance to our employees and their dependents.

Pet-friendly office- Because work is better with your paw-tners by your side

Our Principles:

We get things done: We are courageous; we take ownership, make decisions and get things done.

We act with trust and integrity: We listen first and challenge respectfully. We seek out and leverage diverse perspectives. We welcome and offer honest and open feedback, always assuming positive intent

We put the customer first: We are laser focused on delivering outstanding outcomes for our customers. We put the customer at the heart of what we do.

We make things better: We boldly explore  new ideas and have an unwavering commitment to continuous improvement.

We work as a team: We collaborate closely and value team success over individual achievement.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to our Candidate Privacy Policy - https://www.ppro.com/candidate-privacy-policy/

*This position is 100% remote, but the preference is to have someone on the east coast*

Position Summary:

The Senior Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing.

Essential functions of the job include but are not limited to:

• Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs.
• Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing
• May perform quality control of data entry
• Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned projects, as needed.
• Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
• May assist in building clinical databases
• Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database.
• May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc. Oversee development of the edit check specifications and manual data review specifications
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation. Oversee completeness of data management documentation for the Trial Master File.
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed.
• Review and query clinical trial data according to the Data Management Plan
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
• Run patient and study level status and metric reporting
• Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
• Coordinate SAE/AE reconciliation
• Liaises with third-party vendors such as external data and EDC vendors in a projectmanager capacity in support of timelines and data-related deliverables
• May assist with SAS programming and quality control of SAS programs used in the Data Management department
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
• May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project
• Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
• May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings
• May review Request for Proposals (RFP), proposals, provide project estimates
• Provide leadership for cross-functional and organization-wide initiatives, where applicable
• Trains and ensures that all data management project team members have been sufficiently trained
• Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
• May present software demonstrations/trainings, department/company training sessions, present at project meetings
• May require some travel
• Perform other duties as assigned

Qualifications:

Minimum Required:

• Bachelors and/or a combination of related experience

Other Required:

• 8+ years’ experience as a Sr. Clinical Data Manager and 5 Years as a Clinical Data Manager II
• Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook
• Able to handle a variety of clinical research tasks
• Excellent organizational and communication skills
• Professional use of the English language; both written and oral
• Experience in utilizing various clinical database management systems
• Broad knowledge of drug, device and/or biologic development and effective data management practices
• Strong representational skills, ability to communicate effectively orally and in writing
• Strong leadership and interpersonal skills
• Ability to undertake occasional travel

Preferred:

• Experience in a clinical, scientific or healthcare discipline
• Dictionary medical coding (MedDRA and WHODrug)
• Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…)
• Oncology and/or Orphan Drug therapeutic experience

Precision is required by law in some states, cities and or countries to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Salary Range: $92,500 - 167,900

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Role Overview

We’re looking for a sharp, self-driven Senior Manager to join our growing Trust & Safety team. You’ll own the full fraud lifecycle — from individual order review to designing AI-enabled detection strategies and presenting risk exposure to executive leadership. This is a forward-looking role: you’ll connect the dots across data, drive findings to resolution, and bring new ideas before problems escalate.

You’ll work across Product, Engineering, Decision Science, Compliance, CX, and senior leadership — so translating complex findings into clear, actionable narratives is just as important as finding them.

In this role, you will:

• Own the fraud rule lifecycle — designing, testing, deploying, and continuously optimizing detection rules and thresholds to maximize catch rate while minimizing friction.
• Lead AI-enabled fraud use cases end-to-end: use-case sizing, feature ideation, population analysis, and data quality assessment to ensure solutions are analytically sound and value-accretive.
• Conduct periodic performance reviews of fraud models and rules; drive root-cause investigations to proactively surface risk before it scales.
• Serve as a trusted advisor for AI and ML use cases within fraud, ensuring alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry.
• Evaluate vendor fraud solutions through an analytical lens — assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives.
• Stay current on AI and automation tools and actively explore how they can enhance fraud detection workflows and efficiency.
• Write and maintain intermediate-to-advanced SQL queries to investigate fraud signals, identify connected accounts and orders, and surface emerging patterns.
• Develop and maintain executive dashboards covering fraud review rates, chargeback performance, model effectiveness, and loss trends.
• Translate complex analytical findings into clear, executive-ready narratives — articulating implications for fraud loss, operational efficiency, and customer experience.
• Proactively identify trends and anomalies at both the individual order and systemic level, communicating the full arc of a problem — from discovery to resolution — to any audience.
• Support daily fraud review operations — account verification, order review, escalation handling, SLA adherence, and QA.
• Serve as an internal escalation point for complex cases; assist in coaching the team and continuously improve review processes.
• Partner cross-functionally with Product, Engineering, Compliance, and Legal to align fraud controls with regulatory requirements and product priorities.
• Manage law enforcement requests as needed.

We are looking for:

• 4–6 years in fraud analytics, fraud strategy, or payments risk — ideally within fintech, e-commerce, or a marketplace.
• Demonstrated experience designing and optimizing fraud detection rules or model-driven thresholds.
• Strong SQL proficiency — complex queries from scratch, data troubleshooting, and data storytelling; Snowflake or similar a plus.
• Hands-on experience with order-level fraud review, chargebacks, dispute management, and regulatory compliance.
• Proven ability to build risk reporting and stakeholder dashboards, and present findings confidently to both technical peers and senior leadership.
• Experience with AI-enabled workflows and/or an active interest in applying AI to fraud and risk — including responsible, governance-aligned use.
• Self-starter who synthesizes complex information quickly, drives projects forward without heavy oversight, and connects individual cases to systemic patterns.
• Comfortable in a fast-paced environment where priorities shift as the threat landscape evolves.

GOAT Group uses geographic pay tiers based on the employee’s home state to align compensation with market differences across the U.S.

Hiring Range:

Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets)

$122,900 - $153,600 USD

Tier 2 - (Includes mid-cost markets across the U.S.)

$110,800 - $138,400 USD

Tier 3 - (All other U.S. locations)

$104,500 - $130,600 USD

The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate’s skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information.

Hiring Range:

$104,480—$153,600 USD

GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories. Operating four distinct brands–GOAT, Flight Club, Grailed and alias–GOAT Group has a global community of more than 60 million members across 170 countries.

GOAT is the global platform for the greatest products from the past, present and future. Since its founding in 2015, GOAT has become one of the leading and most trusted sneaker platforms in the world, and has expanded to offer apparel and accessories from select emerging, contemporary and iconic brands. Through its unique positioning between the primary and resale markets, the company offers styles across various time periods on its digital platforms and in its retail locations, while delivering products to over 60 million members across 170 countries.

Established in New York City over 15 years ago, Flight Club revolutionized sneaker retail as the original consignment store for rare shoes. Carrying the rarest exclusives and collectible sneakers, Flight Club has evolved from a one-stop sneaker destination, to a cultural hub for sneaker enthusiasts and novices alike. With three brick-and-mortar locations in New York City, Los Angeles and Miami, Flight Club remains the premier source for authentic, rare sneakers.

Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion. The marketplace was built for enthusiasts, by enthusiasts, and features products from brands including Supreme, Raf Simons, Gucci, Saint Laurent, Balenciaga, Prada and more. With a highly curated selection of resale pieces including inventory exclusive to the platform, Grailed makes fashion accessible.

The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including Park West Asset Management, T. Rowe Price Associates, Inc., Franklin Templeton, Adage Capital Management, Ulysses Management, D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator.

GOAT Group will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, if applicable. By applying, you authorize GOAT Group to send you text messages regarding your job application, interview and/or onboarding process, and other job opportunities at GOAT Group. If you are a California resident, please review our California Privacy Rights Notice for Job Applicants. If you are an EU or UK resident, please review our EU / UK Candidate & Employee Privacy Notice.

Syndigo powers the continual flow of data and content throughout the entire commerce ecosystem— accelerating delivery of accurate and compelling information that increases sales on every shelf. We are the recognized leader in software and services for the management of master data, product information, digital assets, and content syndication and analytics across industries including grocery, foodservice, hardlines, home improvement, oil & gas, pet, health and beauty, automotive, apparel, and healthcare products.

Syndigo serves the industry’s largest two-sided network, connecting more than 50,000 global users across 12,000+ global brands with more than 1,750 global retailers.

Basically, we’re the people that deliver the rich, accurate product content that helps consumers shop online with confidence, and helps brands and retailers operate efficient product supply chains. We cannot do all of this without our amazing employees who make the magic happen here at Syndigo. As we continue to grow, we’re always looking to identify talented individuals to join our team.

**This is a hybrid position that requires 2 days per week in office at our Chicago location**

The Partner Systems & Analytics Specialist owns the technology stack, data infrastructure, and reporting capability for Syndigo’s Alliance organization. This is a service role: the rest of the Alliances team depends on this person for the systems, data, and dashboards that make commercial and operational decisions possible. The role spans platform ownership (selection, implementation, maintenance), Salesforce integration and data alignment, and the ongoing development of partner-specific reporting across commercial and operational dimensions.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

Platform Ownership

• Own the full lifecycle of Syndigo’s partner technology stack — including Impartner (PRM), Crossbeam, and any additional partner-specific tools — covering selection, configuration, implementation, maintenance, and deprecation decisions.
• Serve as the internal product owner for partner platforms: manage vendor relationships, renewals, and roadmap alignment; escalate integration failures and drive resolution.
• Evaluate and recommend changes to the partner tech stack as business needs evolve; build the business case for platform investments or migrations.

Salesforce Integration & Data Alignment

• Own the Salesforce connection for the Alliances org — including the Partner Deal custom object, deal registration workflows, and field-level configuration required for partner pipeline attribution.
• Serve as the primary liaison between the Alliances team and Syndigo’s Salesforce administrators and Sales Ops organization; translate partner program requirements into Salesforce configuration and custom development.
• Write and maintain APEX triggers, flows, and custom objects as required to support partner-specific Salesforce functionality.
• Ensure partner-sourced and partner-influenced pipeline is accurately reflected in Salesforce and reconciled against data from Impartner, Crossbeam, and other source systems.
• Coordinate with Sales Ops, Finance, and other departments to align partner data definitions, attribution models, and reporting standards across systems.

Reporting & Analytics

• Build, maintain, and continuously improve the Alliances team’s reporting suite — covering partner-sourced ARR, partner-influenced pipeline, deal registration volume and velocity, partner certification rates, and partner health indicators.
• Develop and maintain dashboards for commercial leaders (Partner Managers, VP Partner Commercial) and operational stakeholders (Partner Operations, Partner Enablement).
• Produce regular cadenced reporting for leadership including weekly pipeline reports, monthly partner performance summaries, and quarterly ecosystem health reviews.
• Identify data gaps, inconsistencies, and attribution errors proactively; fix them before they surface in leadership reporting.
• Create and maintain thorough documentation on analytics reporting and processes.

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 7+ years in a systems, analytics, or RevOps role in B2B SaaS with direct Salesforce responsibility.
• Salesforce developer-level proficiency: APEX, custom objects, flows, process builder, and integration architecture.
• Demonstrated experience building and maintaining integrations between Salesforce and third-party SaaS platforms (PRM, account mapping, or equivalent).
• Strong analytical capability: can build a dashboard from scratch, identify data quality issues, and translate business requirements into reporting logic without handholding.
• Familiarity with partner ecosystem data concepts: deal registration, partner attribution, co-sell pipeline, account mapping (Crossbeam or equivalent experience a strong plus).
• Experience with PRM platforms (Impartner preferred) is a plus.
• Comfortable operating as an internal service provider — responsive, documentation-oriented, and able to manage competing requests from multiple stakeholders.

Your individual compensation within the budgeted salary range is determined based on your skills, education, experience, and internal equity. This position is Bonus Eligible.

For full-time U.S. based-employees, we offer competitive health insurance benefits, PTO and volunteer time off, employer-paid short- and long-term disability, parental and adoption leave, 401(k), and tuition reimbursement.

Budgeted Salary Range is:

$72,000—$90,000 USD

Diversity, Equity & Inclusion

To achieve the best version of our organization, we know it takes new ideas, new approaches, new perspectives and new ways of thinking. A purpose we are 100% committed to cultivating.

Diversity is woven into our fabric at Syndigo and it’s how we stay an industry leader, innovating technology solutions that equip our customers with everything they need to be successful!

All are welcome here and we invite you to join our team if you are ready to help us continue that growth!

GDPR/CCPA

Syndigo, to process applications, holds onto data for a “reasonable time” after applications are submitted. This data is stored for Syndigo’s internal use by HR/Recruiting Staff only. Verified requests for data deletion and exports will be completed upon request.

Syndigo Job Applicant Privacy Notice

At Syndigo, we care about your privacy. As you go through our recruitment process, we are committed to being transparent about how we process your personal data. To learn more about how Syndigo processes your personal data, go to our Job Applicant Privacy Notice.

*This position is 100% remote, but the preference is to have someone on the east coast*

Position Summary:

The Senior Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing.

Essential functions of the job include but are not limited to:

• Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs.
• Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing
• May perform quality control of data entry
• Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned projects, as needed.
• Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
• May assist in building clinical databases
• Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database.
• May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc. Oversee development of the edit check specifications and manual data review specifications
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation. Oversee completeness of data management documentation for the Trial Master File.
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed.
• Review and query clinical trial data according to the Data Management Plan
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
• Run patient and study level status and metric reporting
• Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
• Coordinate SAE/AE reconciliation
• Liaises with third-party vendors such as external data and EDC vendors in a projectmanager capacity in support of timelines and data-related deliverables
• May assist with SAS programming and quality control of SAS programs used in the Data Management department
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
• May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project
• Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
• May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings
• May review Request for Proposals (RFP), proposals, provide project estimates
• Provide leadership for cross-functional and organization-wide initiatives, where applicable
• Trains and ensures that all data management project team members have been sufficiently trained
• Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
• May present software demonstrations/trainings, department/company training sessions, present at project meetings
• May require some travel
• Perform other duties as assigned

Qualifications:

Minimum Required:

• Bachelors and/or a combination of related experience

Other Required:

• 8+ years’ experience as a Sr. Clinical Data Manager and 5 Years as a Clinical Data Manager II
• Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook
• Able to handle a variety of clinical research tasks
• Excellent organizational and communication skills
• Professional use of the English language; both written and oral
• Experience in utilizing various clinical database management systems
• Broad knowledge of drug, device and/or biologic development and effective data management practices
• Strong representational skills, ability to communicate effectively orally and in writing
• Strong leadership and interpersonal skills
• Ability to undertake occasional travel

Preferred:

• Experience in a clinical, scientific or healthcare discipline
• Dictionary medical coding (MedDRA and WHODrug)
• Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…)
• Oncology and/or Orphan Drug therapeutic experience

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Reasonable estimate of the current range

$91,500—$166,100 USD

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Role Overview

We’re looking for a sharp, self-driven Senior Manager to join our growing Trust & Safety team. You’ll own the full fraud lifecycle — from individual order review to designing AI-enabled detection strategies and presenting risk exposure to executive leadership. This is a forward-looking role: you’ll connect the dots across data, drive findings to resolution, and bring new ideas before problems escalate.

You’ll work across Product, Engineering, Decision Science, Compliance, CX, and senior leadership — so translating complex findings into clear, actionable narratives is just as important as finding them.

In this role, you will:

• Own the fraud rule lifecycle — designing, testing, deploying, and continuously optimizing detection rules and thresholds to maximize catch rate while minimizing friction.
• Lead AI-enabled fraud use cases end-to-end: use-case sizing, feature ideation, population analysis, and data quality assessment to ensure solutions are analytically sound and value-accretive.
• Conduct periodic performance reviews of fraud models and rules; drive root-cause investigations to proactively surface risk before it scales.
• Serve as a trusted advisor for AI and ML use cases within fraud, ensuring alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry.
• Evaluate vendor fraud solutions through an analytical lens — assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives.
• Stay current on AI and automation tools and actively explore how they can enhance fraud detection workflows and efficiency.
• Write and maintain intermediate-to-advanced SQL queries to investigate fraud signals, identify connected accounts and orders, and surface emerging patterns.
• Develop and maintain executive dashboards covering fraud review rates, chargeback performance, model effectiveness, and loss trends.
• Translate complex analytical findings into clear, executive-ready narratives — articulating implications for fraud loss, operational efficiency, and customer experience.
• Proactively identify trends and anomalies at both the individual order and systemic level, communicating the full arc of a problem — from discovery to resolution — to any audience.
• Support daily fraud review operations — account verification, order review, escalation handling, SLA adherence, and QA.
• Serve as an internal escalation point for complex cases; assist in coaching the team and continuously improve review processes.
• Partner cross-functionally with Product, Engineering, Compliance, and Legal to align fraud controls with regulatory requirements and product priorities.
• Manage law enforcement requests as needed.

We are looking for:

• 4–6 years in fraud analytics, fraud strategy, or payments risk — ideally within fintech, e-commerce, or a marketplace.
• Demonstrated experience designing and optimizing fraud detection rules or model-driven thresholds.
• Strong SQL proficiency — complex queries from scratch, data troubleshooting, and data storytelling; Snowflake or similar a plus.
• Hands-on experience with order-level fraud review, chargebacks, dispute management, and regulatory compliance.
• Proven ability to build risk reporting and stakeholder dashboards, and present findings confidently to both technical peers and senior leadership.
• Experience with AI-enabled workflows and/or an active interest in applying AI to fraud and risk — including responsible, governance-aligned use.
• Self-starter who synthesizes complex information quickly, drives projects forward without heavy oversight, and connects individual cases to systemic patterns.
• Comfortable in a fast-paced environment where priorities shift as the threat landscape evolves.

GOAT Group uses geographic pay tiers based on the employee’s home state to align compensation with market differences across the U.S.

Hiring Range:

Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets)

$122,900 - $153,600 USD

Tier 2 - (Includes mid-cost markets across the U.S.)

$110,800 - $138,400 USD

Tier 3 - (All other U.S. locations)

$104,500 - $130,600 USD

The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate’s skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information.

Hiring Range:

$104,480—$153,600 USD

GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories. Operating four distinct brands–GOAT, Flight Club, Grailed and alias–GOAT Group has a global community of more than 60 million members across 170 countries.

GOAT is the global platform for the greatest products from the past, present and future. Since its founding in 2015, GOAT has become one of the leading and most trusted sneaker platforms in the world, and has expanded to offer apparel and accessories from select emerging, contemporary and iconic brands. Through its unique positioning between the primary and resale markets, the company offers styles across various time periods on its digital platforms and in its retail locations, while delivering products to over 60 million members across 170 countries.

Established in New York City over 15 years ago, Flight Club revolutionized sneaker retail as the original consignment store for rare shoes. Carrying the rarest exclusives and collectible sneakers, Flight Club has evolved from a one-stop sneaker destination, to a cultural hub for sneaker enthusiasts and novices alike. With three brick-and-mortar locations in New York City, Los Angeles and Miami, Flight Club remains the premier source for authentic, rare sneakers.

Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion. The marketplace was built for enthusiasts, by enthusiasts, and features products from brands including Supreme, Raf Simons, Gucci, Saint Laurent, Balenciaga, Prada and more. With a highly curated selection of resale pieces including inventory exclusive to the platform, Grailed makes fashion accessible.

The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including Park West Asset Management, T. Rowe Price Associates, Inc., Franklin Templeton, Adage Capital Management, Ulysses Management, D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator.

GOAT Group will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, if applicable. By applying, you authorize GOAT Group to send you text messages regarding your job application, interview and/or onboarding process, and other job opportunities at GOAT Group. If you are a California resident, please review our California Privacy Rights Notice for Job Applicants. If you are an EU or UK resident, please review our EU / UK Candidate & Employee Privacy Notice.

Syndigo powers the continual flow of data and content throughout the entire commerce ecosystem— accelerating delivery of accurate and compelling information that increases sales on every shelf. We are the recognized leader in software and services for the management of master data, product information, digital assets, and content syndication and analytics across industries including grocery, foodservice, hardlines, home improvement, oil & gas, pet, health and beauty, automotive, apparel, and healthcare products.

Syndigo serves the industry’s largest two-sided network, connecting more than 50,000 global users across 12,000+ global brands with more than 1,750 global retailers.

Basically, we’re the people that deliver the rich, accurate product content that helps consumers shop online with confidence, and helps brands and retailers operate efficient product supply chains. We cannot do all of this without our amazing employees who make the magic happen here at Syndigo. As we continue to grow, we’re always looking to identify talented individuals to join our team.

**This is a hybrid position that requires 2 days per week in office at our Chicago location**

The Partner Systems & Analytics Specialist owns the technology stack, data infrastructure, and reporting capability for Syndigo’s Alliance organization. This is a service role: the rest of the Alliances team depends on this person for the systems, data, and dashboards that make commercial and operational decisions possible. The role spans platform ownership (selection, implementation, maintenance), Salesforce integration and data alignment, and the ongoing development of partner-specific reporting across commercial and operational dimensions.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

Platform Ownership

• Own the full lifecycle of Syndigo’s partner technology stack — including Impartner (PRM), Crossbeam, and any additional partner-specific tools — covering selection, configuration, implementation, maintenance, and deprecation decisions.
• Serve as the internal product owner for partner platforms: manage vendor relationships, renewals, and roadmap alignment; escalate integration failures and drive resolution.
• Evaluate and recommend changes to the partner tech stack as business needs evolve; build the business case for platform investments or migrations.

Salesforce Integration & Data Alignment

• Own the Salesforce connection for the Alliances org — including the Partner Deal custom object, deal registration workflows, and field-level configuration required for partner pipeline attribution.
• Serve as the primary liaison between the Alliances team and Syndigo’s Salesforce administrators and Sales Ops organization; translate partner program requirements into Salesforce configuration and custom development.
• Write and maintain APEX triggers, flows, and custom objects as required to support partner-specific Salesforce functionality.
• Ensure partner-sourced and partner-influenced pipeline is accurately reflected in Salesforce and reconciled against data from Impartner, Crossbeam, and other source systems.
• Coordinate with Sales Ops, Finance, and other departments to align partner data definitions, attribution models, and reporting standards across systems.

Reporting & Analytics

• Build, maintain, and continuously improve the Alliances team’s reporting suite — covering partner-sourced ARR, partner-influenced pipeline, deal registration volume and velocity, partner certification rates, and partner health indicators.
• Develop and maintain dashboards for commercial leaders (Partner Managers, VP Partner Commercial) and operational stakeholders (Partner Operations, Partner Enablement).
• Produce regular cadenced reporting for leadership including weekly pipeline reports, monthly partner performance summaries, and quarterly ecosystem health reviews.
• Identify data gaps, inconsistencies, and attribution errors proactively; fix them before they surface in leadership reporting.
• Create and maintain thorough documentation on analytics reporting and processes.

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 7+ years in a systems, analytics, or RevOps role in B2B SaaS with direct Salesforce responsibility.
• Salesforce developer-level proficiency: APEX, custom objects, flows, process builder, and integration architecture.
• Demonstrated experience building and maintaining integrations between Salesforce and third-party SaaS platforms (PRM, account mapping, or equivalent).
• Strong analytical capability: can build a dashboard from scratch, identify data quality issues, and translate business requirements into reporting logic without handholding.
• Familiarity with partner ecosystem data concepts: deal registration, partner attribution, co-sell pipeline, account mapping (Crossbeam or equivalent experience a strong plus).
• Experience with PRM platforms (Impartner preferred) is a plus.
• Comfortable operating as an internal service provider — responsive, documentation-oriented, and able to manage competing requests from multiple stakeholders.

Your individual compensation within the budgeted salary range is determined based on your skills, education, experience, and internal equity. This position is Bonus Eligible.

For full-time U.S. based-employees, we offer competitive health insurance benefits, PTO and volunteer time off, employer-paid short- and long-term disability, parental and adoption leave, 401(k), and tuition reimbursement.

Budgeted Salary Range is:

$72,000—$90,000 USD

Diversity, Equity & Inclusion

To achieve the best version of our organization, we know it takes new ideas, new approaches, new perspectives and new ways of thinking. A purpose we are 100% committed to cultivating.

Diversity is woven into our fabric at Syndigo and it’s how we stay an industry leader, innovating technology solutions that equip our customers with everything they need to be successful!

All are welcome here and we invite you to join our team if you are ready to help us continue that growth!

GDPR/CCPA

Syndigo, to process applications, holds onto data for a “reasonable time” after applications are submitted. This data is stored for Syndigo’s internal use by HR/Recruiting Staff only. Verified requests for data deletion and exports will be completed upon request.

Syndigo Job Applicant Privacy Notice

At Syndigo, we care about your privacy. As you go through our recruitment process, we are committed to being transparent about how we process your personal data. To learn more about how Syndigo processes your personal data, go to our Job Applicant Privacy Notice.

ABOUT OUR COMPANY:

The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial.

Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we’ve raised over $135 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, and more.

But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt and we’re just getting started..

ABOUT OUR WORKPLACE:

Splash is remote-first, and proud of it — though our collections team works in-person at our Arizona location.

We spend our days simplifying financial products and getting them into the hands of people who need them most. Right now, we’re focused on building financial technologies that fundamentally transform how the industry lends.

Although Splash has been around since 2013, we still operate like a startup — fast-paced, nimble, and full of heart. We’re good people who care deeply about doing meaningful work and we approach challenges with creativity, passion, and urgency.

And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected — even from afar.

At Splash, everything we do is guided by our values:

Own It – We take full accountability and follow through on commitments.

Raise the Bar – We move fast, innovate faster, and push through barriers.

Say the Hard Thing – We speak up with honesty, respect, and a desire to solve problems and make things better.

Elevate Each Other – We win as a team by lifting each other up.

These values show up in how we work and how we connect — whether we’re collaborating on big projects or bonding over everyday moments. Yes, we even have Slack channels for #kids-and-pets and #food because we believe being human makes us better teammates.

ABOUT THE ROLE:

Splash Financial is looking for a Senior Product Analyst to help us answer the “why” behind customer behavior and product performance. You’ll be the analytical lead of our product organization, owning the experimentation, instrumentation, and insight work that shapes our roadmap and the customer experience. In this role, you’ll design and analyze A/B tests, turning results into clear, compelling stories for both executives and cross-functional partners. You’ll lead our product analytics stack, define the metrics that matter, and build intuitive dashboards that give teams a trusted, self-serve view of product health. You’ll also build a unified customer 360 view that connects acquisition, onboarding, servicing, and outcomes, giving Splash a holistic understanding of our borrowers. Beyond the data work, you’ll own a lightweight research program — customer surveys, NPS analysis, and interview synthesis — ensuring product decisions are grounded in both quantitative rigor and qualitative insight. Sitting at the intersection of

data, product, and customer experience, this role is a critical partner in driving growth and conversion across our portfolio.

WHAT YOU’LL DO AT SPLASH:

• Own experimentation and test analytics:  Design, implement, and analyze A/B and multivariate tests across the product experience, including funnel optimizations to new feature launches
• Build and maintain core product & business dashboards: Develop, automate, and continuously improve dashboards and reporting that track key product, funnel, and customer metrics; make it easy for PMs and leaders to self-serve insights and monitor performance.
• Lead product analytics tooling and instrumentation: Own the roadmap, governance, and best practices for our product analytics stack (event schemas, tracking plans, data quality); partner closely with Product and Engineering to ensure every new feature ships with the right instrumentation and metrics.
• Create and evolve a customer 360 view: Bring together product usage, marketing, servicing data into a holistic view of the customer journey; identify segments, behaviors, and opportunities that drive acquisition, conversion, engagement, and long-term value.
• Translate customer feedback & data into actionable insights: Combine quantitative analysis (funnels, experiments) with qualitative signals (surveys, NPS, interviews, customer service calls and tickets) to surface insights and recommendations that shape product strategy and prioritization.
• Own lightweight customer research programs: Lead customer surveys, NPS programs, and usability interview syntheses; conduct competitive and market analysis; translate qualitative findings into product recommendations that complement quantitative work
• Leverage AI tools to accelerate analysis and insight generation:  Actively use AI-powered tools (e.g.- LLM-assisted data exploration, AI-enhanced analytics platforms) to increase the speed and depth of analysis; help the team develop frameworks for where AI can improve experimentation, personalization, and product decisions

WHAT YOU’LL BRING TO SPLASH:

• 5-8+ years of experience in product analytics, data science, business intelligence, or a related field, preferably in fintech, consumer lending, or a consumer marketplace environment.
• Strong proficiency in SQL and working with relational databases; comfort validating large datasets and joining complex tables. Experience with a scripting language (e.g., Python or R) for deeper analysis, modeling, or automation is a plus.
• Demonstrated experience designing, running, and evaluating A/B tests (or similar experiments) — including hypothesis formation, sample size estimation, guardrails, and clear communication of results and trade-offs.
• Hands-on experience with modern product analytics and BI tools (e.g., Logrocket, Amplitude, Mixpanel, Heap, Looker, Tableau, Mode, etc.), and a track record of building dashboards and self-serve tools that enable others to answer their own questions.
• Familiarity with research methods- survey design, NPS analysis, usability study basics, or competitive intelligence and the ability to extract signal from qualitative data and pair it with quantitative analysis. Experience running or synthesizing customer interviews is a plus.
• Working knowledge of AI/ML tools and how they apply to analytics workflows, including LLM-assisted data analysis, AI-powered product features, and the ability to instrument and measure AI-driven experiences. Comfort using AI tools to accelerate your own work is expected.
• Entrepreneurial, resourceful, and comfortable operating with ambiguity; you identify opportunities, propose solutions, and drive them to completion with limited guidance while maintaining a high bar for quality.

COMPENSATION:

The base salary range for this role is $150,000 to $180,000 annually, based on market data and internal compensation practices. This role may also be eligible for a bonus component tied to individual and company performance. Final compensation will be determined by factors such as location, experience, and skill level.

SPLASHERS ENJOY:

• Fully remote work freedom (for most roles)
• Competitive salary packages
• Flexible PTO + 9 company holidays
• Equity: Share in our start-up success
• Comprehensive and affordable insurance benefits
• Paid parental leave for both caregivers
• Essential modern equipment to get the job done
• Fully paid Claude subscription to supercharge your work
• 401(k) for your future savings
• Quarterly meet-ups: In person & virtual fun
• Awesome Splash swag to flaunt your team spirit

Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.

JOB OFFER & RECRUITMENT SCAM NOTICE

At Splash Financial, we want candidates to feel confident and safe throughout the hiring process. Unfortunately, scammers sometimes pose as employers to trick job seekers into sharing personal information or money.

PLEASE BE AWARE:

• Splash Financial will never ask for payment, banking details, or cryptocurrency as part of our hiring process.
• All legitimate job communications from Splash Financial will come from an @splashfinancial.com email address.
• We do not conduct interviews solely via text message or chat apps.
• Any offer of employment will be made only after a formal interview process and will be sent directly from Splash Financial.

IF YOU RECEIVE A SUSPICIOUS MESSAGE:

• Do not respond or share personal information.
• Do not click on unknown links or download attachments.
• Report the message to careers@splashfinancial.com

About the Role

TailorCare is a value-based musculoskeletal (MSK) care platform combining clinical expertise, digital tools, and a yield-based operating model. We are now operationalizing Operating Model 3.0, a shift from uniform delivery to yield-based alignment, in which every patient receives investment proportional to a real-time Yield Score (Probability × Value × Addressability), and an ROI Gate continuously calibrates Wallet (financial investment) and Muscle (operational intensity).

This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the strategy, design the data platform, drive vendor decisions, and partner with engineering, product, clinical, and operations leadership to deliver it. This is a hybrid strategy-and-architecture role; you will move comfortably from a CTO whiteboard conversation to an EDI 837 parser to a model-evaluation review without losing the thread.

Primary Responsibilities

• Set strategy. Own the multi-year data strategy supporting Operating Model optimization and TailorCare’s extension beyond MSK; frame tradeoffs for the executive team; protect strategic data moats (canonical patient and provider graphs, proprietary outcome labels, and contribute to yield-calibrated decisioning IP)
• Architect the platform end-to-end. Ingestion, event bus, identity resolution, lakehouse, feature store, ROI Gate decisioning, action orchestration, observability. Define the event taxonomy, schema registry, and data contracts that govern how every source flows in
• Lead vendor strategy. Evaluate and select across clearinghouses, clinical networks, claims systems, provider intelligence, conversational AI, CDPs, and more, negotiating export rights, schema stability, and contribute to defining BAA scope. Build payer-neutral patterns from day one
• Set the bar for HIPAA, PHI, and AI governance. Classification at ingestion, field-level access controls, infrastructure-level scrubbing, vendor data governance, training-data lineage, and consent chains.
• Partner across functions. Translate architecture into staffed delivery with each engineering team; collaborate with clinical leadership on Patient Reported Outcome, extraction accuracy, and outcome labels; work with operations to make the intake and data aggregation meaningful.
• Other duties as assigned

Qualifications

• 10+ years working with healthcare data, including 4+ years in architecture or strategy leadership
• Deep hands-on knowledge of healthcare data: X12 EDI (270/271/276/277/278/834/835/837), FHIR R4, HL7 v2 (especially ADT), CCD/C-CDA, NCPDP, and the realities of integrating with payers, EHRs, clearinghouses, and HIEs
• Experience working with AI team developing predictive models and ability to act as the liaison between AI modeling and data platform.
• Proven track record designing production data platforms at scale, streaming and batch, with managed Kafka or equivalent, lakehouse architectures (Snowflake / Databricks / BigQuery), dbt-style orchestration, modern observability
• Solid grounding in ML/AI systems: feature stores, point-in-time correctness, model lifecycle, NLP for clinical text. You evaluate model proposals on their merits
• Direct experience with patient identity resolution (deterministic + probabilistic) and tokenization (Datavant or equivalent)
• Working knowledge of value-based care economics: MLR, attribution, episode costing, risk adjustment, and how reimbursement models shape data requirements
• Demonstrated executive presence: framing tradeoffs, defending recommendations, adjusting when wrong, staying technically credible
• HIPAA-fluent. You engineer PHI minimization, BAA structures, and audit requirements as first-class concerns
• Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.

Preferred Qualifications

• Hands-on experience with at least one major longitudinal claims dataset (Komodo, Truveta, HealthVerity, Optum, IQVIA) and integration
• Highly collaborative and experienced with a broad range of business holders
• Experience integrating clinical data networks
• Experience with conversational AI in a contact-center context (Cresta, Observe.AI, or built in-house)
• Multi-payer scale experience
• Early-stage / scaling startup background, comfort with ambiguity and the ability to make calls without perfect information

What you will deliver in year one

• Be a key leader in driving build vs. buy data acquisition decisions
• Canonical patient master service in production; ≥95% deterministic match rate, documented probabilistic strategy
• Real-time event bus with ≥10 production event types, SLO dashboards, and downstream consumers live
• Real-time ADT, eligibility (270⁄271) and prior-auth (278) integrations live with sub-second response
• Salesforce (TailorCare-captured) clinical operational data fully instrumented
• Clinical data network integration (Health Gorilla or Particle) with NLP extraction on radiology and specialist notes
• ROI Gate v1 deployed, routing ≥80% of newly-identified patients; closed-loop attribution from marketing to outcome operational

What’s In It For You

• Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact.
• Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville.
• Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge.
• Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets!
• Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution.
• Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching.
• Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day.

TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of “relevance” spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation.

Responsibilities

• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment
• Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction
• Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply
• Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness
• Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact
• Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community

Required Qualifications

• Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation
• Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts
• Experience defining and validating quality metrics for content ranking, search, or recommendations at scale
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience
• Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications

• Published research or industry contributions in areas recommendation systems or causal inference for ranking
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$232,500—$325,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis.

Responsibilities:

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
• Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
• Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
• Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams
• Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community

Required Qualifications:

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles
• Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
• Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform)
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Track record of designing and analyzing experiments at scale in complex or networked environments
• Demonstrated ability to influence product and organizational strategy through experimentation insights
• Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way
• Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications:

• Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference
• Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis.

Responsibilities:

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
• Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
• Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
• Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams
• Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community

Required Qualifications:

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles
• Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
• Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform)
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Track record of designing and analyzing experiments at scale in complex or networked environments
• Demonstrated ability to influence product and organizational strategy through experimentation insights
• Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way
• Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications:

• Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference
• Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$232,500—$325,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple.

The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf.

What you’ll do at Jamf:

The Senior BI Analytics Engineer is a core technical role in Jamf’s data organisation. You’ll own the design and delivery of trusted data models across the Jamf Data Platform, from source-aligned staging layers through to the business-facing marts and semantic views that power BI, financial reporting, and product analytics. This is an end-to-end role: you think in systems, not just queries.

You’ll bridge the gap between raw data from backend services and the decisions Jamf needs to make faster, working closely with data engineers, analysts, data scientists, and business stakeholders to ensure data is accurate, well-defined, and genuinely useful. As AI-powered analytics becomes central to how Jamf operates, you’ll also play a key role in building the semantic foundation that enables natural language querying through tools like Snowflake Cortex Analyst. You’ll raise the bar on data quality, drive best practices across the discipline, and help make the Jamf Data Platform a genuine competitive asset.

You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. We are only able to accept applications for those based in one of these locations.

What you can expect to do in this role:

• Design and build robust downstream data models using the Trusted Data Development workflow, covering range of analytics and integration use cases.
• Design and maintain Snowflake semantic views with rich metadata annotation, business definitions, entity relationships, and column-level descriptions, enabling reliable AI-driven and natural language querying via tools such as Snowflake Cortex Analyst.
• Partner with Data Platform and AI Architecture teams to build solutions that bridge structured analytics with natural language interfaces, making Snowflake data reliably queryable by AI agents and business users.
• Set and uphold engineering standards writing maintainable, high-scale SQL and dbt code, leading code reviews, and acting as the code owner and BI reviewer for specific schemas.
• Champion data quality and trusted data models implementing testing frameworks, driving data profiling, and partnering cross-functionally to resolve quality issues at their source.
• Own one or more business stakeholder relationships, translating requirements into well-integrated data designs and ensuring raw data is accurately interpreted across business units, drawing on depth in at least two major data domains such as marketing, sales, finance product, or engineering.
• Drive Data Platform optimisation identifying opportunities to reduce cost and complexity, contributing to the Data Catalog, and leading prioritisation of data governance issues.
• Upskill analysts and business partners through code pairing, training, and documentation scaling data acumen and enabling self-service analytics across the organisation.
• Lead multiple analytics projects from beginning to operationalization
• #LIRemote

What we are looking for:

• Minimum of 6 years in Data as an Analyst, Engineer, Scientist, or equivalent (Required)
• Minimum of 2 years managing the same data model system over time, extending it to satisfy multiple general business use case. (Required)
• Minimum of 4 years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (Required)
• Minimum of 3 years building and maintaining data models using dbt, with demonstrable experience across modelling layers, testing, and documentation (Required)
• Experience developing semantic views or semantic layer data models designed for LLM or AI integrations, including metadata standards, business glossaries, and column-level descriptions that support reliable AI-driven querying, using tools such as Snowflake Cortex Analyst, dbt Semantic Layer, or equivalent (Required)
• Experience building data solutions that support NLP-based querying, such as Text-to-SQL pipelines or conversational analytics interfaces that operate over structured data (Required)
• Experienced in Scrum or Kanban (Preferred)
• General knowledge of Apple products and SaaS business models (Preferred)
• Ability to communicate complex ideas simply and convincingly
• Ability to listen to stakeholder needs and finds way to deliver well integrated solutions that serve specific needs.
• Significant hands-on experience is the primary requirement for this role. A Bachelor’s Degree in Science, Technology, Engineering, Mathematics, or a related field is one route, but equivalent experience will be considered
• A combination of relevant experience and education may be considered

SECURITY AND PRIVACY REQUIREMENTS

• Participation in ongoing security training is mandatory
• Established security protocols will be adhered to, sensitive data will be handled responsibly, and data protection practices are followed, including understanding relevant privacy regulations and reporting breaches
• Acknowledging the Jamf Code of Conduct, where applicable security and privacy policies can be found, is a requirement of all roles at Jamf

How we help you reach your best potential:

• Named a 2025 Best Companies to Work For by U.S. News
• Named a 2024 Best Technology Company to Work For by U.S. News
• Named one of Forbes Most Trusted Companies in 2024
• Named a 2024 Best Companies to Work For by U.S. News
• Our developers work in agile delivery teams to produce new features, improve software components, and are the subject matter experts for our Jamf product offerings.
• You will have the opportunity to make a real and meaningful impact for more than 75,000 global customers with the best Apple device management solution in the world.
• We constantly push the boundaries of technology, our developers support new innovations and OS releases the moment they are made available by Apple.
• Several Jamf engineers are named in patents and with team names like CatDog, ThunderSnow and Dalek you can expect to have some fun while building cutting-edge software.
• You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect.
• We offer a clear career path that enables you to grow under supportive leadership and management
• Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at medium.com/jamf-engineering
• 22 of 25 world’s most valuable brands rely on Jamf to do their best work (as ranked by Forbes).
• Over 100,000 Jamf Nation users, the largest online IT community in the world.

Pay Transparency

At Jamf, base pay is one part of our total compensation package and is set within a defined range. These ranges can vary based on hiring location. Where an individual’s pay falls within that range depends on several factors, including role scope, location, budget, skills, experience, and qualifications. This approach helps ensure fair, competitive pay and provides room to grow as you develop in your role.

Pay Transparency Range

$103,100—$186,780 USD

What it means to be a Jamf? We are a team of free-thinkers, can-doers, and problem-crushers. We value humility and the relentless pursuit of knowledge. Our culture flows from a spirit of selflessness and relentless self-improvement - driving both personal growth and collective progress throughout our company. We unite around common goals while respecting personal approaches, believing that fulfilled individuals create a thriving, vibrant workplace.

Our aim is simple: hire exceptionally good people who are incredibly good at what they do and let them do it. We provide the support and resources to let everyone be their authentic, best selves at work, at rest, and at play. We are committed to supporting the continual improvement of Apple in the workplace, the organizations that rely on them and the people who keep it all running smoothly.

Above it all, waves our banner of #OneJamf – and the knowledge that when we stand together, we accomplish so much more than we could alone. We seek individuals who share this unwavering journey toward growth to join us in our quest for constant improvement.

What does Jamf do? Jamf extends the legendary Apple experience people enjoy in their personal lives to the workplace. We believe the experience of using a device at work or school should feel the same, and be as secure as, using a personal device. With Jamf, customers are able to confidently automate Mac, iPad, iPhone and Apple TV deployment, management, and security – anytime, anywhere – to protect the data and applications used by employees in the workplace, students learning in the classroom, and streamline communications in healthcare between patients and providers. More than 2,500 Jamf strong worldwide, we are free-thinkers, can-doers, and problems crushers who are encouraged to bring their whole selves to work each and every day.

Get social with us and follow the conversation at #OneJamf

Jamf is committed to creating an inclusive & supportive work environment for all candidates and employees. Candidates with disabilities or religious beliefs are encouraged to reach out if they need additional support or alternative options to our recruiting processes to accommodate their disability or religious belief. If you need an accommodation, please contact your Recruiter or Recruiting Coordinator directly. Requests for accommodation will be handled confidentially by Recruiting and will not be shared with the hiring manager. Jamf is an equal opportunity employer and does not discriminate against individuals who request reasonable accommodation for disability or religious beliefs. To request accommodations please email us at recruiting@jamf.com

Description

Job title: Data & GIS Analyst

Location: Bogotá, Colombia

Contract: Permanent, local and full-time

Starting date: ASAP (July 1, 2026)

PUR Description

PUR is a global, impact-focused B-Corp specializing in the development of environmental restoration projects, known as ‘nature-based solutions’ (NbS). Since 2008, we have been helping the world’s largest organizations meet their ESG targets, reduce their environmental footprint, and regenerate the ecosystems they depend on across complex supply chains. Having developed over 45 projects in more than 30 countries, PUR is recognized as both a pioneer and leader in a sector that is now at the forefront of global efforts to address the ongoing climate and biodiversity crisis.

At the heart of our mission is a commitment to fostering and operationalizing insetting strategies—interventions by companies within their own value chains designed to reduce GHG emissions while creating positive impacts for communities, landscapes, and ecosystems. By championing this insetting approach, we aim to create a holistic range of benefits that extend beyond ecological restoration, encompassing social and economic dimensions through enhanced agricultural yields and resilience to climate change-induced stresses, among others.

One of the distinctive features of our work is our ability to tailor projects to the specific needs of different regions and communities. By recognizing the unique characteristics of each ecosystem and the cultural context of the communities involved, we ensure our initiatives are contextually relevant and have a meaningful and sustainable impact. All our projects are developed in close collaboration with local actors, including cooperatives, NGOs, governments, and corporations. Today, we employ 200 staff across 16 countries with key offices in Paris (HQ) and Toronto.

About the role

The GIS & Data Analyst plays a key role in supporting both operational data systems and geospatial analyses across regional projects. This hybrid position combines data analysis and operational data support responsibilities (approximately 80% of the role) with GIS and geospatial analysis functions (approximately 20% of the role). The position collaborates closely with Operational teams, Technicians, and the Central Data Team, including Geospatial Analysts and Data Engineers, to ensure data quality, workflow efficiency, and accurate spatial representation of field activities.

On the data analysis side, the GIS & Data Analyst helps ensure a smooth and reliable data collection experience for Operational teams and Technicians. The role is responsible for coding and maintaining data collection forms, troubleshooting occasional issues in the data pipeline, and serving as the first line of support for local teams when data-related bugs or inconsistencies arise. Additionally, the analyst identifies operational trends and local behaviors through data analysis, generating insights that can be studied, standardized, and potentially scaled across regions to improve operational efficiency and decision-making.

On the GIS side, the GIS & Data Analyst supports the organization’s geospatial data infrastructure, analyses, and workflows, contributing to Nature-Based Solutions (NBS) and Technology-Based Solutions (TBS) initiatives, including carbon certification processes. The role assists in the preparation of maps, spatial analyses, and geospatial visualizations that support internal teams, executive reporting, and external stakeholders such as carbon rating agencies, verifiers, and auditors. Working alongside the Central Data Team, the analyst helps ensure that geospatial datasets accurately reflect field realities and are properly integrated into broader organizational systems and reporting frameworks.

This role requires a strong combination of analytical thinking, technical problem-solving, data management, and geospatial analysis skill

Your responsibilities will be, but not limited to:

On the Data side you will:

• Code data collection forms (frequent) and dashboards (occasionally) to help with decision-making.

• Train our Pur Ops team and the field technicians and partner on how to use our tools and how to better collect the information.

• Do exploratory/causal analysis of the data we collect to find correlations and trends and transform them into methodologies

• Provide insights into planting and project effectiveness and create visualizations for the data.

• Gather secondary data (e.g. : on geospatial details, land use, crops types, yields etc) that might be relevant for the exploratory analysis.

• Advocate for the Data Department in your region while also communicating to Central Data good insight, local regulations and datasets so it can be integrated into the global data platform.

• Suggest recommendations to improve field data collection and overall data quality based on analytical insights and investigation, as well as technician and producer feedback.

• Communicate with Data Team members in other regions proactively to find common needs between regions and synergies.

On the GIS side you will:

• Analyzing land use change, eligibility and baseline, supporting inventories design and producing maps, as well as ensuring Geospatial Database quality for carbon certifications

• Producing maps and visualizations for the Project team and farmers to better follow up the projects, analyzing distances to better understand performance and increase efficiencies.

• Conducting studies using the baseline the Central Data Team provides, including supporting the Feasibility team with analysis to guide site selection and decision making.

• Writing reports on geospatial analysis findings, including but not limited to Force Majeure reports.

• Complementing the Central Data Team methodology and data library at PUR with datasets and cases from your own region. Producing documentation on the analyses performed.

• Manipulation of vector data.

• Conducting / organizing / supporting any Remote Sensing activities that need to be done on a regional level.

• Conducting pilots inside the Data Teams framework.

• Generally supporting the Projects team in understanding their data and how to strengthen their operations

Requirements

We are looking for a candidate with:

• Degree in computer science, geography, environmental engineering, or related fields.

• A minimum of 2 years of experience in a Data Analyst or GIS Analyst.

• Working knowledge of SQL and Python – working with Jupyter Notebooks is a nice-to-have.

• Working knowledge of Data Visualization (if you have a repository or portfolio, please include the link in your application)

• Working knowledge of geospatial / mapping software tools (e.g. QGIS, Google Earth Engine).

• Knowledge of causal analysis is a differentiator and is a nice-to-have.

• Experience with Digital Products is a nice-to-have.

• Capacity to communicate with both technical and non-technical teams with ease, both in written and verbally.

• Understanding of data governance and best practices.

• Some experience in Sustainability or Impact (or at least a strong interest),

• Fluent in English. French is a differential.

• This is a hybrid position based in Bogota

Company Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 11 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.

We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Job Description

The Product Maintenance division is dedicated to delivering excellence and reliability in our live products to maximize client satisfaction and solidify long-term strategic partnerships. We are currently looking for an expert in the banking business, particularly in International Payments and bank cash operations, to join our team and build expertise in Manila for business components under the area of ACP.

As a business expert in the team, you will ensure the features of the products we support are aligned to Avaloq’s market and client needs as well as what we offer as standard solution. Your responsibilities include:

1. Reviewing and analyzing incoming issues, identifying root causes and expected behavior.
2. Collaborating with Product Owners, Business Analysts, and Technical Leads to align with client expectations on functional and non-functional requirements.
3. Ensuring quality through end-to-end testing of code changes, and close collaboration with engineers during unit testing.
4. Driving continuous improvement by linking recurring issues to product documentation and roadmap enhancements, and providing feedback on stakeholder needs to Product evolution teams.

Qualifications

You will need the following to succeed in the role:

1. Proven experience in Banking/Payment Industry around solutions involving outgoing and incoming payments, standing orders and direct debit mandates, cash and card transactions, and cheque processing, involving SWIFT, SEPA, BACS, EBICS, SIC / euroSIC, and other international payment schemes / bureaus / standards
2. Practical knowledge handling client tickets such as problems, incidents, change requests, and inquiries
3. Ability to organize multiple complex tasks and prioritize efficiently for both you and your team
4. Strong business acumen with a strategic mindset and entrepreneurial drive
5. Excellent English communication skills, including negotiation, presentation, collaboration, and team spirit

It would be a bonus if you have:

1. Avaloq Core Platform knowledge
2. Compliance, regulatory reporting, and other payment regulations such as PSD2, Instant payment experience
3. Business know-how around Money market, Securities trading, Global and ex custody, Lending and credit management, or other banking operations

Additional Information

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

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