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We’re transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more...

About the Position

At FiscalNote, we build platforms that connect people to their governments, and our Data Analytics team builds tools, processes, and reporting capabilities to integrate operational data and enable enterprise decision making. As an Analytics Engineer on the Data Analytics team, you recognize the value of properly managing, analyzing and reporting data to improve operational efficiencies, customer experience, and financial performance, and want to build the data models and analytics capabilities that empower decision making across the company. You will work closely with our product and operations teams to build clean, scalable analytics models which are the backbone of our reporting and advanced analytics capabilities. This role reports to the Director of Data Analytics & Business Intelligence.

About the Team

The Data Analytics team sits at the intersection of data, technology, and strategy at FiscalNote. We build and maintain the systems, models, and reporting infrastructure that enable the entire business to operate with clarity and confidence. Our work connects every function from sales to finance to customer success, ensuring that the right data reaches the right people at the right time to drive informed decisions. Our core mission is to understand the business and impact decision-making across all departments through the effective use of data. We are AI-forward but we do not vibe code. Experience with AI and agentic harnesses is a plus but not required for this role.

About You

You are curious, thoughtful, and detail-oriented. You see technical challenges as puzzles to solve, and can generalize a solution to an individual problem out to an entire class of problems. You dislike doing the same thing manually over and over and enjoy automating systems. You take pride in your work and do not like leaving things half-done. You can operate independently, but have support from your team as needed. You are proficient in SQL and have hands-on experience building data models in dbt. You know how to explore and analyze unfamiliar datasets and find insights in the data. You want to deepen your technical expertise and may have experience with Python or other general-purpose programming languages.

#LI-AL1

What To Expect In This Position

• Build and maintain dbt models with SQL and Jinja for analytics and dataops across departments including finance, product, sales, and customer success
• Harden analytics models via tests, freshness checks, constraints, etc. to ensure the quality and correctness of our data
• Create reports and dashboards in Metabase using the visual query builder
• Conduct ad-hoc analysis to understand our data in depth and answer business questions
• Collaborate with stakeholders across the organization to understand their respective business domains and design analytics solutions for them

What Sets You Apart

• 4+ years in analytics engineering, data analysis, or a related technical role
• Excellent data modeling proficiency with an eye toward simplicity and modularity
• Advanced proficiency in SQL, including complex joins, window functions, and CTEs
• Production experience in at least one dbt project
• Strong dimensional, relational, or semantic data modeling skills
• Familiarity with structured, semi-structured and unstructured data formats
• Experience with data visualization products such as Metabase, Looker, and Tableau
• Ability to explore and analyze complex datasets
• Strong communication skills and ability to write thorough, high-quality documentation
• Basic statistical analysis to identify trends, outliers, etc.
• Git-based development, pull requests, code review, and CI/CD
• Experience with Snowflake and SnowSQL (preferred)
• Experience with Metabase (preferred)
• Python proficiency (preferred)
• Experience performing data munging and analysis with tools and environments like Pandas/Polars and Jupyter Notebooks (preferred)

Excited about this role, but don’t meet 100% of the expected qualifications listed above? We’d still love for you to apply!

When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we’d be happy to connect!

As part of FiscalNote’s commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.

About FiscalNote

FiscalNote is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action.

Home to CQ, FrontierView, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk.

At FiscalNote, We Lead with Values

Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family

Company Benefits

FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we’re all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/.

FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.

FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.

About the Position

At FiscalNote, we build platforms that connect people to their governments, and our Data Analytics team builds tools, processes, and reporting capabilities to integrate operational data and enable enterprise decision making. As an Analytics Engineer on the Data Analytics team, you recognize the value of properly managing, analyzing and reporting data to improve operational efficiencies, customer experience, and financial performance, and want to build the data models and analytics capabilities that empower decision making across the company. You will work closely with our product and operations teams to build clean, scalable analytics models which are the backbone of our reporting and advanced analytics capabilities. This role reports to the Director of Data Analytics & Business Intelligence.

About the Team

The Data Analytics team sits at the intersection of data, technology, and strategy at FiscalNote. We build and maintain the systems, models, and reporting infrastructure that enable the entire business to operate with clarity and confidence. Our work connects every function from sales to finance to customer success, ensuring that the right data reaches the right people at the right time to drive informed decisions. Our core mission is to understand the business and impact decision-making across all departments through the effective use of data. We are AI-forward but we do not vibe code. Experience with AI and agentic harnesses is a plus but not required for this role.

About You

You are curious, thoughtful, and detail-oriented. You see technical challenges as puzzles to solve, and can generalize a solution to an individual problem out to an entire class of problems. You dislike doing the same thing manually over and over and enjoy automating systems. You take pride in your work and do not like leaving things half-done. You can operate independently, but have support from your team as needed. You are proficient in SQL and have hands-on experience building data models in dbt. You know how to explore and analyze unfamiliar datasets and find insights in the data. You want to deepen your technical expertise and may have experience with Python or other general-purpose programming languages.

#LI-AL1

What To Expect In This Position

• Build and maintain dbt models with SQL and Jinja for analytics and dataops across departments including finance, product, sales, and customer success
• Harden analytics models via tests, freshness checks, constraints, etc. to ensure the quality and correctness of our data
• Create reports and dashboards in Metabase using the visual query builder
• Conduct ad-hoc analysis to understand our data in depth and answer business questions
• Collaborate with stakeholders across the organization to understand their respective business domains and design analytics solutions for them

What Sets You Apart

• 4+ years in analytics engineering, data analysis, or a related technical role
• Excellent data modeling proficiency with an eye toward simplicity and modularity
• Advanced proficiency in SQL, including complex joins, window functions, and CTEs
• Production experience in at least one dbt project
• Strong dimensional, relational, or semantic data modeling skills
• Familiarity with structured, semi-structured and unstructured data formats
• Experience with data visualization products such as Metabase, Looker, and Tableau
• Ability to explore and analyze complex datasets
• Strong communication skills and ability to write thorough, high-quality documentation
• Basic statistical analysis to identify trends, outliers, etc.
• Git-based development, pull requests, code review, and CI/CD
• Experience with Snowflake and SnowSQL (preferred)
• Experience with Metabase (preferred)
• Python proficiency (preferred)
• Experience performing data munging and analysis with tools and environments like Pandas/Polars and Jupyter Notebooks (preferred)

Excited about this role, but don’t meet 100% of the expected qualifications listed above? We’d still love for you to apply!

When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we’d be happy to connect!

As part of FiscalNote’s commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.

About FiscalNote

FiscalNote is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action.

Home to CQ, FrontierView, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk.

At FiscalNote, We Lead with Values

Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family

Company Benefits

FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we’re all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/.

FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.

FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.

Description

The Director of Data Governance sits within Quality, Regulatory, and Compliance and leads the evolution of DeepHealth’s data ecosystem into a unified, high-quality enterprise asset. The role owns strategic design, implementation, and continuous improvement of the Data Governance Framework so data is accurate, secure, and ready for advanced analytics and AI initiatives.

Essential Duties and Responsibilities

·       Define and execute a Data Governance roadmap aligned with the Enterprise Information and Governance vision.

·       Review, maintain, and enforce the Data Management Policy and Data Governance Charter against current regulatory and business needs.

·       Facilitate decision-making on data standards and help resolve cross-functional data conflicts.

·       Implement Data Quality Management procedures and establish KPIs for data accuracy, completeness, and consistency.

·       Define enterprise-wide data standards, including metadata management, data lineage, and master data management protocols.

·       Partner with IT and Security so data pipelines support AI applications while maintaining security boundaries.

·       Work with Security to define data classification levels and manage high-risk data access policies.

·       Ensure data practices adhere to applicable global privacy regulations and internal Enterprise Information and Governance mandates.

·       Align data governance priorities with organizational objectives and regulatory requirements.

·       Mentor and develop team members as the data governance capability grows.

Requirements

Minimum Qualifications, Education and Experience

·       Bachelor’s degree in Computer Science, Information Security, Information Management, or a related field, or equivalent practical experience (required).

7 to 10 years of progressive experience in Data Management, Data Governance, or Information Architecture in healthcare, medical technology, or another highly regulated industry (required).

Strong experience with DAMA-DMBOK frameworks and data quality lifecycle management (required).

Deep understanding of data profiling tools, metadata management, and modern data stack concepts (required).

Experience with AI systems in production or product development contexts (required).

Excellent written and oral communication skills, including explaining complex concepts to diverse audiences (required).

High level of integrity and confidentiality (required).

Preferred: Master’s degree or advanced relevant certifications.

Quality Standards

·       Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.

·       Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.

·       Follows all local, regional and country laws concerning employment.

·       Follows all DeepHealth policies and procedures.

·       Follows data privacy, compliance, safety and confidentiality standards at all times.

·       Practices universal safety precautions.

·       Promotes good public relations on the phone and in person.

·       Adapts and is willing to learn new tasks, methods, and systems.

·       Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.

·       Completes job responsibilities in a quality and timely manner.

Travel

This position requires travel up to approximately 10%.

Working Environment

European Union. Remote-friendly or office-based role.

Physical Demands

The employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation.

Salary:

115,000.00-130,00.00 EURO

100,000.00-110,000.00 in France

About the Position

At FiscalNote, we build platforms that connect people to their governments, and our Data Analytics team builds tools, processes, and reporting capabilities to integrate operational data and enable enterprise decision making. As an Analytics Engineer on the Data Analytics team, you recognize the value of properly managing, analyzing and reporting data to improve operational efficiencies, customer experience, and financial performance, and want to build the data models and analytics capabilities that empower decision making across the company. You will work closely with our product and operations teams to build clean, scalable analytics models which are the backbone of our reporting and advanced analytics capabilities. This role reports to the Director of Data Analytics & Business Intelligence.

About the Team

The Data Analytics team sits at the intersection of data, technology, and strategy at FiscalNote. We build and maintain the systems, models, and reporting infrastructure that enable the entire business to operate with clarity and confidence. Our work connects every function from sales to finance to customer success, ensuring that the right data reaches the right people at the right time to drive informed decisions. Our core mission is to understand the business and impact decision-making across all departments through the effective use of data. We are AI-forward but we do not vibe code. Experience with AI and agentic harnesses is a plus but not required for this role.

About You

You are curious, thoughtful, and detail-oriented. You see technical challenges as puzzles to solve, and can generalize a solution to an individual problem out to an entire class of problems. You dislike doing the same thing manually over and over and enjoy automating systems. You take pride in your work and do not like leaving things half-done. You can operate independently, but have support from your team as needed. You are proficient in SQL and have hands-on experience building data models in dbt. You know how to explore and analyze unfamiliar datasets and find insights in the data. You want to deepen your technical expertise and may have experience with Python or other general-purpose programming languages.

#LI-AL1

What To Expect In This Position

• Build and maintain dbt models with SQL and Jinja for analytics and dataops across departments including finance, product, sales, and customer success
• Harden analytics models via tests, freshness checks, constraints, etc. to ensure the quality and correctness of our data
• Create reports and dashboards in Metabase using the visual query builder
• Conduct ad-hoc analysis to understand our data in depth and answer business questions
• Collaborate with stakeholders across the organization to understand their respective business domains and design analytics solutions for them

What Sets You Apart

• 4+ years in analytics engineering, data analysis, or a related technical role
• Excellent data modeling proficiency with an eye toward simplicity and modularity
• Advanced proficiency in SQL, including complex joins, window functions, and CTEs
• Production experience in at least one dbt project
• Strong dimensional, relational, or semantic data modeling skills
• Familiarity with structured, semi-structured and unstructured data formats
• Experience with data visualization products such as Metabase, Looker, and Tableau
• Ability to explore and analyze complex datasets
• Strong communication skills and ability to write thorough, high-quality documentation
• Basic statistical analysis to identify trends, outliers, etc.
• Git-based development, pull requests, code review, and CI/CD
• Experience with Snowflake and SnowSQL (preferred)
• Experience with Metabase (preferred)
• Python proficiency (preferred)
• Experience performing data munging and analysis with tools and environments like Pandas/Polars and Jupyter Notebooks (preferred)

Excited about this role, but don’t meet 100% of the expected qualifications listed above? We’d still love for you to apply!

When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we’d be happy to connect!

As part of FiscalNote’s commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.

About FiscalNote

FiscalNote is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action.

Home to CQ, FrontierView, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk.

At FiscalNote, We Lead with Values

Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family

Company Benefits

FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we’re all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/.

FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.

FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.

Not all heroes wear capes — but plenty of them use toilet paper Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come...

Not all heroes wear capes — but plenty of them use toilet paper Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come...

Swoon is an original, design-led brand using an innovative NPD process to discover the next home trends. We run a lean team on a modern data stack - Snowflake, Airflow, Kleene, DBT and Sigma.

We’re looking for an analytics engineer to own that stack end-to-end: how pipelines get built and maintained, how AI is used within them, how analysis reaches the exec team, and how the wider business self-serves answers.

What we’re looking for:

This is a single-owner technical role. You will own the warehouse, the transformation layer, the orchestration and the analytics surface the business consumes, and you will shape how they evolve. No data team above you to escalate design decisions to. You will partner closely with the commercial, marketing, and operations leads to turn their questions into insight that is actually executable.

That autonomy is the point. You need to be highly self-motivated, comfortable making architecture calls on your own judgement, and willing to fix problems rather than route them.

Key Responsibilities

1. Own the data stack

• Warehouse & modelling: Own the ELT process end-to-end - modelling, testing, documentation, cost and performance management.
• Orchestration: Own orchestration and ensure pipelines are reliable, timely, and accurate.
• Source integration: Maintain and extend extraction and loading from any new source.
• Data quality: Build the tests and checks that mean decisions aren’t made on broken numbers.

2. Own the analytics stack

• BI layer strategy: Own the decision on how Swoon delivers analytics. Assess whether our current BI layer is the right long-term solution. You will be expected to recommend Swoon’s BI future with evidence and own the consequences.
• Self-service: Further improve our self-serve analytics for our non-technical colleagues across commercial, operations and marketing to get answers without routing every question through you.

3. Drive AI adoption

• AI in the data workflow: Use AI tooling to compress the cost of analysis, transformation development, documentation and QA. Review the current standard and where it can’t be trusted.

• AI enablement across the business: Work with function leads to identify where AI removes manual work - ops reconciliation, customer service triage, content generation, supplier admin - and build or specify the tooling. You are the technical enabler.

• Track record: Demonstrable experience building and running a production analytics stack. Strong SQL and Python skills, plus Snowflake and orchestration (Airflow or equivalent).

• AI fluency: Hands-on experience using AI tools in a real workflow.

• Self-direction: You set your own roadmap, prioritise against commercial impact, and deliver without supervision.

• Communication: You can explain a technical constraint to a non-technical stakeholder and push back on a bad request without damaging the relationship.

Compensation

• Competitive salary
• Share options programme
• Profit share scheme
• Wellbeing allowance
• Generous pension scheme
• Private medical cover for you and your family

Holidays, working environment and other perks

• 27 days holiday rising to 30 with tenure
• Four months of summer hours finishing at 1 PM on a Friday
• Free furniture on each anniversary of employment
• Friends & family discount of 20%
• Fully remote working
• Frequent meet-ups, in-person workshops and socials

Senior Data Analyst

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking a Senior Data Analyst to lead the design, development, modernization, and optimization of enterprise analytics and business intelligence solutions using Power BI and the Microsoft Fabric semantic layer.

The Senior Data Analyst will assess existing dashboards and reporting products, identify opportunities for consolidation and modernization, and develop scalable semantic models and analytics products that support executive, operational, and compliance use cases. This role will work closely with business stakeholders, data engineers, governance teams, and technical leadership to translate mission and business needs into effective analytics solutions.

The Senior Data Analyst will also support analytics strategy, product portfolio management, self-service analytics enablement, and advanced analytical capabilities including predictive modeling and forecasting.

Responsibilities

• Lead the design and development of enterprise analytics and business intelligence solutions using Power BI and Microsoft Fabric
• Design and maintain enterprise semantic models that provide governed, reusable data structures for analytics and reporting
• Develop certified Power BI datasets and reusable analytical components
• Build and optimize executive, operational, compliance, and mission-focused dashboards
• Ensure dashboards and analytics products meet established performance, usability, accessibility, and data quality standards
• Assess the existing dashboard and reporting portfolio, including:
  • Usage and adoption analysis
  • Redundancy identification
  • Technical debt evaluation
  • Performance assessment
  • Opportunities for consolidation or retirement
• Develop and execute dashboard consolidation, modernization, and migration plans
• Rationalize legacy reports and dashboards into standardized enterprise analytics products
• Develop complex DAX measures, calculations, and business logic
• Use Power Query and related transformation capabilities to prepare and shape data for analytical use
• Implement row-level security and object-level security aligned with enterprise data governance and access-control requirements
• Collaborate with governance and security teams to ensure analytics products appropriately enforce data access policies
• Assess and recommend self-service analytics capabilities, operating models, and governance approaches
• Evaluate Power BI licensing, capacity, and deployment strategies based on user needs and enterprise requirements
• Enable governed self-service analytics for business users while maintaining appropriate security and data quality controls
• Evaluate and support Copilot-assisted and AI-enabled analytics capabilities where appropriate
• Develop predictive models, forecasting tools, analytical frameworks, and decision-support capabilities
• Create advanced analytical methods that can be operationalized and maintained by analysts and business teams
• Support analytics strategy, roadmap development, and product portfolio management
• Identify opportunities to consolidate, standardize, improve, or retire analytics products
• Conduct requirements gathering sessions with business, operational, and technical stakeholders
• Analyze business processes and reporting needs to identify appropriate analytical solutions
• Translate business requirements into functional specifications, analytical requirements, user stories, and acceptance criteria
• Coordinate across analytics, data engineering, governance, application, and source-system workstreams
• Perform data analysis, validation, reconciliation, and quality checks to ensure analytics products accurately reflect source data and business rules
• Troubleshoot complex reporting, semantic modeling, data quality, and performance issues
• Develop user documentation, data dictionaries, product documentation, and quick-reference guides for analytics products
• Support stakeholder demonstrations, user acceptance testing, training, and adoption activities
• Provide technical guidance and mentorship to Data Analysts and Associate Data Analysts
• Establish standards and reusable practices for enterprise reporting, semantic modeling, visualization, and analytics development

Qualifications

• Significant experience developing enterprise business intelligence, analytics, and reporting solutions
• Strong hands-on experience with Microsoft Power BI
• Experience working with Microsoft Fabric or comparable enterprise analytics platforms
• Advanced proficiency with DAX
• Strong experience with Power Query and data transformation
• Experience designing and maintaining enterprise semantic models
• Experience developing reusable and certified datasets for enterprise analytics
• Experience designing executive, operational, and compliance dashboards
• Experience assessing and rationalizing enterprise dashboard or reporting portfolios
• Experience translating business requirements into functional analytics specifications
• Experience conducting requirements gathering and stakeholder workshops
• Experience implementing row-level security and other analytics access-control mechanisms
• Understanding of data governance, data quality, metadata, and security principles
• Experience with dashboard performance optimization and analytical troubleshooting
• Experience supporting analytics product lifecycle management, modernization, or migration efforts
• Strong analytical, problem-solving, communication, and documentation skills
• Experience working with both technical and non-technical stakeholders
• Experience mentoring or providing technical leadership to other analysts
• Active Secret clearance

Preferred Qualifications

• Microsoft Certified: Power BI Data Analyst Associate
• Advanced experience with Microsoft Fabric semantic models
• Experience with Power BI deployment pipelines, workspaces, and enterprise governance
• Experience performing dashboard portfolio rationalization and consolidation
• Experience enabling governed self-service analytics
• Experience assessing Power BI licensing and capacity strategies
• Experience with Copilot-assisted analytics or other AI-enabled business intelligence capabilities
• Experience developing predictive models, forecasting tools, or advanced analytical frameworks
• Experience with statistical analysis, Python, R, or similar analytical tools
• Experience designing analytics products for large-scale enterprise environments
• Experience with federal, Department of Defense, or education-related analytics environments
• Familiarity with data lineage, metadata management, data cataloging, and enterprise data governance frameworks

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Associate Data Analyst

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking an Associate Data Analyst to support the development, modernization, and maintenance of enterprise analytics and business intelligence solutions using Power BI and governed data sources within the Microsoft Fabric environment.

The Associate Data Analyst will develop dashboards, reports, semantic models, and data visualizations supporting education, workforce, financial, procurement, and operational analytics. This role will work with senior analysts, data engineers, governance teams, and Government stakeholders to translate reporting needs into reliable and user-friendly analytics products.

The Associate Data Analyst will also support dashboard migration, requirements gathering, documentation, training materials, and self-service analytics initiatives.

Responsibilities

• Develop dashboards, reports, and data visualizations using Microsoft Power BI
• Build analytics products using governed data sources from the Microsoft Fabric Lakehouse
• Build and maintain semantic models supporting standardized enterprise reporting
• Develop calculated measures, KPIs, and reusable analytical logic using DAX
• Use Power Query to prepare, transform, and validate data for analytics products
• Support implementation and maintenance of row-level security and workspace access controls
• Assist with dashboard and report migration from legacy environments to the modernized analytics platform
• Validate migrated dashboards to ensure data accuracy, functionality, and alignment with user requirements
• Develop and maintain analytics products supporting areas such as:
  • Student outcomes and performance
  • Assessment analytics
  • Enrollment and demographic trends
  • HR and workforce analytics
  • Financial reporting
  • Procurement and acquisition analysis
  • Operational and administrative reporting
• Perform data analysis, validation, and reconciliation to identify inconsistencies or reporting issues
• Support development and maintenance of KPI frameworks and standardized reporting definitions
• Assist with self-service analytics enablement for business and operational users
• Support evaluation of Copilot-assisted analytics and other AI-enabled business intelligence capabilities
• Participate in requirements gathering sessions with Government and business stakeholders
• Document current-state reporting processes, data needs, and analytical requirements
• Translate stakeholder needs into analytics use cases, process flows, functional requirements, and acceptance criteria
• Support user acceptance testing and validation of dashboards and reporting products
• Develop user documentation, quick-reference guides, training materials, and other supporting documentation
• Assist with analytics demonstrations, training sessions, and user adoption activities
• Collaborate with Senior Data Analysts, Data Engineers, Data Governance Specialists, and source-system owners to resolve reporting and data issues
• Support troubleshooting of dashboard, semantic model, data quality, and access-control issues
• Maintain documentation for reports, data sources, business logic, KPIs, and analytics processes
• Follow established analytics, governance, visualization, and data quality standards

Qualifications

• Experience with Microsoft Power BI
• Experience developing dashboards, reports, and data visualizations
• Working knowledge of DAX and calculated measures
• Experience with Power Query or comparable data transformation tools
• SQL proficiency for querying, validating, and analyzing data
• Experience developing reports for diverse technical and non-technical user audiences
• Understanding of data visualization and dashboard design principles
• Ability to analyze data and identify trends, inconsistencies, and reporting issues
• Experience gathering or documenting business and reporting requirements
• Strong organizational, analytical, communication, and documentation skills
• Ability to work collaboratively with technical teams and business stakeholders
• Active Secret clearance

Preferred Qualifications

• Experience with Microsoft Fabric
• Experience working with Fabric Lakehouse data sources
• Experience building or maintaining Power BI semantic models
• Familiarity with row-level security and Power BI workspace permissions
• Experience supporting dashboard migrations or reporting modernization initiatives
• Familiarity with education data, student information systems, or education analytics
• Familiarity with federal reporting requirements or Government data environments
• Experience with student outcomes, assessment, enrollment, HR, financial, or procurement analytics
• Familiarity with self-service analytics concepts
• Exposure to Copilot-assisted analytics or other AI-enabled business intelligence tools
• Experience developing user guides, training materials, or analytics documentation

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Realize your potential by joining the leading performance-driven advertising company!

As a Business Analyst working on our Business Analytics & Business Intelligence team in New York, you will work closely with our Sales and Account Management teams to create data driven solutions, extract and visualize actionable insights from large volumes of data and analyze our clients’ performance to ensure they are hitting/exceeding their KPIs.

To thrive in this role, you’ll need:

• 2+ years of experience as a business analyst, data analyst, business intelligence analyst or related role
• Excellent data analysis and presentation skills with experience in performance analysis, root-cause analysis, etc.
• Strong SQL skills (Vertica, MySQL, Google BigQuery etc.)
• Experience working with Data Visualization tools (Qlik Sense, Tableau, Looker, etc.)
• Exceptional ability to understand data and to transform it into actionable business insights
• Ability to independently research and solve challenging problems
• Experience using Python and/or R in data manipulation and analysis
• Experience leveraging AI in data research, management and/or analysis

Bonus points if you have:

• Experience in ad-tech, digital advertising or media

How you’ll make an impact:

• Transform large data sets into actionable insights across a wide range of topics, including root cause analysis, benchmarking, sales productivity and performance
• Present findings to stakeholders from Account Management to Senior Leadership
• Deliver ad-hoc analysis and data reports to both internal stakeholders and clients using SQL and Python.
• Collaborate cross-functionally with business teams such as Sales Ops, Sales & Account Management, FP&A, R&D, and Product on large projects and analysis.
• Serve as point of contact for the business on a wide variety of subjects, often leveraging internal knowledge sources for research.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen, and various gym partnerships.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$114,000—$125,000 USD

Top 3 Reasons To Join Us

• Competitive Salary
• 100% Remote
• Working on the latest tech for the Insurtech Market Leader

About Us

At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.

• We are a leading global no-code insurance platform for health, life, and P&C
• We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
• We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
• We’re an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
• We are fully funded and backed by reputable VC funds and strategic institutional investors
• We have a global presence in Asia, EMEA and the Americas
• We’ve grown our annualized revenue by over 30x since January 2021
• We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world

What You Will Do:

• Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
• Plan and design simple to semi-complex business processes and system modifications
• Make recommendations to improve and support business activities
• Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
• Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
• Develop business requirements documents/user stories to support the required modifications
• May plan, allocate and monitor work of other business analysts
• Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
• Assist in providing time estimates for project related tasks
• Aid in updating process and procedural documentation
• Develop basic understanding of technical development cycle of mobile application or web portals
• Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
• Any other task that may be assigned

What We Need:

• Minimum 5 years of experience as Business Analyst
• A degree in Business, IT or any relevant field
• Previous experience working in the insurance industry is required
• Health Insurance-related domain certification from INS/LOMA or III is an added advantage
• Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
• Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
• Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
• Experience in an Agile and/or Scrum environment is a must
• Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
• Excellent written and verbal communication skills in English
• Technical writing skills are a plus
• Must be based in Thailand
• Must be fluent in Thai

Why You’ll Love Working Here

• Fully Remote
• Flexible Leave
• International Environment
• Competitive renumeration package
• Performance Bonus
• Company activities and events
• Learning and development plan
• Remote work allowance

CoverGo Company Video

By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Swoon is an original, design-led brand using an innovative NPD process to discover the next home trends. We run a lean team on a modern data stack - Snowflake, Airflow, Kleene, DBT and Sigma.

We’re looking for an analytics engineer to own that stack end-to-end: how pipelines get built and maintained, how AI is used within them, how analysis reaches the exec team, and how the wider business self-serves answers.

What we’re looking for:

This is a single-owner technical role. You will own the warehouse, the transformation layer, the orchestration and the analytics surface the business consumes, and you will shape how they evolve. No data team above you to escalate design decisions to. You will partner closely with the commercial, marketing, and operations leads to turn their questions into insight that is actually executable.

That autonomy is the point. You need to be highly self-motivated, comfortable making architecture calls on your own judgement, and willing to fix problems rather than route them.

Key Responsibilities

1. Own the data stack

• Warehouse & modelling: Own the ELT process end-to-end - modelling, testing, documentation, cost and performance management.
• Orchestration: Own orchestration and ensure pipelines are reliable, timely, and accurate.
• Source integration: Maintain and extend extraction and loading from any new source.
• Data quality: Build the tests and checks that mean decisions aren’t made on broken numbers.

2. Own the analytics stack

• BI layer strategy: Own the decision on how Swoon delivers analytics. Assess whether our current BI layer is the right long-term solution. You will be expected to recommend Swoon’s BI future with evidence and own the consequences.
• Self-service: Further improve our self-serve analytics for our non-technical colleagues across commercial, operations and marketing to get answers without routing every question through you.

3. Drive AI adoption

• AI in the data workflow: Use AI tooling to compress the cost of analysis, transformation development, documentation and QA. Review the current standard and where it can’t be trusted.

• AI enablement across the business: Work with function leads to identify where AI removes manual work - ops reconciliation, customer service triage, content generation, supplier admin - and build or specify the tooling. You are the technical enabler.

• Track record: Demonstrable experience building and running a production analytics stack. Strong SQL and Python skills, plus Snowflake and orchestration (Airflow or equivalent).

• AI fluency: Hands-on experience using AI tools in a real workflow.

• Self-direction: You set your own roadmap, prioritise against commercial impact, and deliver without supervision.

• Communication: You can explain a technical constraint to a non-technical stakeholder and push back on a bad request without damaging the relationship.

Compensation

• Competitive salary
• Share options programme
• Profit share scheme
• Wellbeing allowance
• Generous pension scheme
• Private medical cover for you and your family

Holidays, working environment and other perks

• 27 days holiday rising to 30 with tenure
• Four months of summer hours finishing at 1 PM on a Friday
• Free furniture on each anniversary of employment
• Friends & family discount of 20%
• Fully remote working
• Frequent meet-ups, in-person workshops and socials

Senior Data Analyst

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking a Senior Data Analyst to lead the design, development, modernization, and optimization of enterprise analytics and business intelligence solutions using Power BI and the Microsoft Fabric semantic layer.

The Senior Data Analyst will assess existing dashboards and reporting products, identify opportunities for consolidation and modernization, and develop scalable semantic models and analytics products that support executive, operational, and compliance use cases. This role will work closely with business stakeholders, data engineers, governance teams, and technical leadership to translate mission and business needs into effective analytics solutions.

The Senior Data Analyst will also support analytics strategy, product portfolio management, self-service analytics enablement, and advanced analytical capabilities including predictive modeling and forecasting.

Responsibilities

• Lead the design and development of enterprise analytics and business intelligence solutions using Power BI and Microsoft Fabric
• Design and maintain enterprise semantic models that provide governed, reusable data structures for analytics and reporting
• Develop certified Power BI datasets and reusable analytical components
• Build and optimize executive, operational, compliance, and mission-focused dashboards
• Ensure dashboards and analytics products meet established performance, usability, accessibility, and data quality standards
• Assess the existing dashboard and reporting portfolio, including:
  • Usage and adoption analysis
  • Redundancy identification
  • Technical debt evaluation
  • Performance assessment
  • Opportunities for consolidation or retirement
• Develop and execute dashboard consolidation, modernization, and migration plans
• Rationalize legacy reports and dashboards into standardized enterprise analytics products
• Develop complex DAX measures, calculations, and business logic
• Use Power Query and related transformation capabilities to prepare and shape data for analytical use
• Implement row-level security and object-level security aligned with enterprise data governance and access-control requirements
• Collaborate with governance and security teams to ensure analytics products appropriately enforce data access policies
• Assess and recommend self-service analytics capabilities, operating models, and governance approaches
• Evaluate Power BI licensing, capacity, and deployment strategies based on user needs and enterprise requirements
• Enable governed self-service analytics for business users while maintaining appropriate security and data quality controls
• Evaluate and support Copilot-assisted and AI-enabled analytics capabilities where appropriate
• Develop predictive models, forecasting tools, analytical frameworks, and decision-support capabilities
• Create advanced analytical methods that can be operationalized and maintained by analysts and business teams
• Support analytics strategy, roadmap development, and product portfolio management
• Identify opportunities to consolidate, standardize, improve, or retire analytics products
• Conduct requirements gathering sessions with business, operational, and technical stakeholders
• Analyze business processes and reporting needs to identify appropriate analytical solutions
• Translate business requirements into functional specifications, analytical requirements, user stories, and acceptance criteria
• Coordinate across analytics, data engineering, governance, application, and source-system workstreams
• Perform data analysis, validation, reconciliation, and quality checks to ensure analytics products accurately reflect source data and business rules
• Troubleshoot complex reporting, semantic modeling, data quality, and performance issues
• Develop user documentation, data dictionaries, product documentation, and quick-reference guides for analytics products
• Support stakeholder demonstrations, user acceptance testing, training, and adoption activities
• Provide technical guidance and mentorship to Data Analysts and Associate Data Analysts
• Establish standards and reusable practices for enterprise reporting, semantic modeling, visualization, and analytics development

Qualifications

• Significant experience developing enterprise business intelligence, analytics, and reporting solutions
• Strong hands-on experience with Microsoft Power BI
• Experience working with Microsoft Fabric or comparable enterprise analytics platforms
• Advanced proficiency with DAX
• Strong experience with Power Query and data transformation
• Experience designing and maintaining enterprise semantic models
• Experience developing reusable and certified datasets for enterprise analytics
• Experience designing executive, operational, and compliance dashboards
• Experience assessing and rationalizing enterprise dashboard or reporting portfolios
• Experience translating business requirements into functional analytics specifications
• Experience conducting requirements gathering and stakeholder workshops
• Experience implementing row-level security and other analytics access-control mechanisms
• Understanding of data governance, data quality, metadata, and security principles
• Experience with dashboard performance optimization and analytical troubleshooting
• Experience supporting analytics product lifecycle management, modernization, or migration efforts
• Strong analytical, problem-solving, communication, and documentation skills
• Experience working with both technical and non-technical stakeholders
• Experience mentoring or providing technical leadership to other analysts
• Active Secret clearance

Preferred Qualifications

• Microsoft Certified: Power BI Data Analyst Associate
• Advanced experience with Microsoft Fabric semantic models
• Experience with Power BI deployment pipelines, workspaces, and enterprise governance
• Experience performing dashboard portfolio rationalization and consolidation
• Experience enabling governed self-service analytics
• Experience assessing Power BI licensing and capacity strategies
• Experience with Copilot-assisted analytics or other AI-enabled business intelligence capabilities
• Experience developing predictive models, forecasting tools, or advanced analytical frameworks
• Experience with statistical analysis, Python, R, or similar analytical tools
• Experience designing analytics products for large-scale enterprise environments
• Experience with federal, Department of Defense, or education-related analytics environments
• Familiarity with data lineage, metadata management, data cataloging, and enterprise data governance frameworks

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Associate Data Analyst

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking an Associate Data Analyst to support the development, modernization, and maintenance of enterprise analytics and business intelligence solutions using Power BI and governed data sources within the Microsoft Fabric environment.

The Associate Data Analyst will develop dashboards, reports, semantic models, and data visualizations supporting education, workforce, financial, procurement, and operational analytics. This role will work with senior analysts, data engineers, governance teams, and Government stakeholders to translate reporting needs into reliable and user-friendly analytics products.

The Associate Data Analyst will also support dashboard migration, requirements gathering, documentation, training materials, and self-service analytics initiatives.

Responsibilities

• Develop dashboards, reports, and data visualizations using Microsoft Power BI
• Build analytics products using governed data sources from the Microsoft Fabric Lakehouse
• Build and maintain semantic models supporting standardized enterprise reporting
• Develop calculated measures, KPIs, and reusable analytical logic using DAX
• Use Power Query to prepare, transform, and validate data for analytics products
• Support implementation and maintenance of row-level security and workspace access controls
• Assist with dashboard and report migration from legacy environments to the modernized analytics platform
• Validate migrated dashboards to ensure data accuracy, functionality, and alignment with user requirements
• Develop and maintain analytics products supporting areas such as:
  • Student outcomes and performance
  • Assessment analytics
  • Enrollment and demographic trends
  • HR and workforce analytics
  • Financial reporting
  • Procurement and acquisition analysis
  • Operational and administrative reporting
• Perform data analysis, validation, and reconciliation to identify inconsistencies or reporting issues
• Support development and maintenance of KPI frameworks and standardized reporting definitions
• Assist with self-service analytics enablement for business and operational users
• Support evaluation of Copilot-assisted analytics and other AI-enabled business intelligence capabilities
• Participate in requirements gathering sessions with Government and business stakeholders
• Document current-state reporting processes, data needs, and analytical requirements
• Translate stakeholder needs into analytics use cases, process flows, functional requirements, and acceptance criteria
• Support user acceptance testing and validation of dashboards and reporting products
• Develop user documentation, quick-reference guides, training materials, and other supporting documentation
• Assist with analytics demonstrations, training sessions, and user adoption activities
• Collaborate with Senior Data Analysts, Data Engineers, Data Governance Specialists, and source-system owners to resolve reporting and data issues
• Support troubleshooting of dashboard, semantic model, data quality, and access-control issues
• Maintain documentation for reports, data sources, business logic, KPIs, and analytics processes
• Follow established analytics, governance, visualization, and data quality standards

Qualifications

• Experience with Microsoft Power BI
• Experience developing dashboards, reports, and data visualizations
• Working knowledge of DAX and calculated measures
• Experience with Power Query or comparable data transformation tools
• SQL proficiency for querying, validating, and analyzing data
• Experience developing reports for diverse technical and non-technical user audiences
• Understanding of data visualization and dashboard design principles
• Ability to analyze data and identify trends, inconsistencies, and reporting issues
• Experience gathering or documenting business and reporting requirements
• Strong organizational, analytical, communication, and documentation skills
• Ability to work collaboratively with technical teams and business stakeholders
• Active Secret clearance

Preferred Qualifications

• Experience with Microsoft Fabric
• Experience working with Fabric Lakehouse data sources
• Experience building or maintaining Power BI semantic models
• Familiarity with row-level security and Power BI workspace permissions
• Experience supporting dashboard migrations or reporting modernization initiatives
• Familiarity with education data, student information systems, or education analytics
• Familiarity with federal reporting requirements or Government data environments
• Experience with student outcomes, assessment, enrollment, HR, financial, or procurement analytics
• Familiarity with self-service analytics concepts
• Exposure to Copilot-assisted analytics or other AI-enabled business intelligence tools
• Experience developing user guides, training materials, or analytics documentation

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Realize your potential by joining the leading performance-driven advertising company!

As a Business Analyst working on our Business Analytics & Business Intelligence team in New York, you will work closely with our Sales and Account Management teams to create data driven solutions, extract and visualize actionable insights from large volumes of data and analyze our clients’ performance to ensure they are hitting/exceeding their KPIs.

To thrive in this role, you’ll need:

• 2+ years of experience as a business analyst, data analyst, business intelligence analyst or related role
• Excellent data analysis and presentation skills with experience in performance analysis, root-cause analysis, etc.
• Strong SQL skills (Vertica, MySQL, Google BigQuery etc.)
• Experience working with Data Visualization tools (Qlik Sense, Tableau, Looker, etc.)
• Exceptional ability to understand data and to transform it into actionable business insights
• Ability to independently research and solve challenging problems
• Experience using Python and/or R in data manipulation and analysis
• Experience leveraging AI in data research, management and/or analysis

Bonus points if you have:

• Experience in ad-tech, digital advertising or media

How you’ll make an impact:

• Transform large data sets into actionable insights across a wide range of topics, including root cause analysis, benchmarking, sales productivity and performance
• Present findings to stakeholders from Account Management to Senior Leadership
• Deliver ad-hoc analysis and data reports to both internal stakeholders and clients using SQL and Python.
• Collaborate cross-functionally with business teams such as Sales Ops, Sales & Account Management, FP&A, R&D, and Product on large projects and analysis.
• Serve as point of contact for the business on a wide variety of subjects, often leveraging internal knowledge sources for research.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen, and various gym partnerships.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$114,000—$125,000 USD

In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale...

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters...