Data Analyst

• Conduct analytics using large healthcare datasets, including healthcare price transparency data, commercial claims, Medicare claims data, and other licensed or public data assets.
• Use SQL and other analytic tools to query and summarize large healthcare data files to be used for evaluating reimbursement variation across procedures, devices, payers, providers, markets, and sites of care.
• Develop analytic datasets and reproducible code to support analyses of payer and provider reimbursement, payer mix, procedure-level economics, and market dynamics.
• Work with HEPR, pricing, marketing, strategy, and operating unit partners to clarify business questions and translate them into feasible analytic approaches.
• Assist in developing dashboards, summary reports, tables, figures, and other analytic outputs that communicate findings clearly to technical and non-technical audiences.
• Support development of market access tools and repeatable analytic workflows that can be scaled across operating units and priority business needs.
• Maintain documentation of data sources, analytic methods, code logic, assumptions, definitions, and limitations to support transparency, reproducibility, and appropriate data governance.
• Assist with data quality checks, analysis validation, and peer review to ensure analytic outputs are accurate and consistent.

Senior Market Access Analytics Specialist

• Lead and own the station-facing insights service
• Develop expertise on station audiences
• Conduct monthly webinars for stations
• Create and manage monthly newsletter for stations
• Thoroughly learn and use NPR’s line of analytics software
• Build and sustain collaborative relationships with stations
• Oversee compliance with data collection processes
• Support stations to maximize value of NPR's products
• Serve as station ambassador communicating station needs
• Identify and compile internal research for stations
• Write and update guides and documentation

Senior Insights Analyst, Station Analytics

• Working in a fast-paced, innovative, and change-oriented work environment
• Using programming skills to explore, examine and interpret large-scale data in various forms
• Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
• Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
• Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
• Building a strong network of peers and mentors
• Attending on-site technical and professional development classes
• Presenting accomplishments to leadership across the organization
• Participating in sponsored community service events

Data Analytics Co-Op

• Assists in development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning.
• Supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed.
• Assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
• Prepare, manage and analyze large customer loans and deposit data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of interest rate, liquidity or stressed capital risk.
• Understand the context of the Bank's data and businesses to ensure properly developed models.
• Produce and run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms of model development activities to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output.
• Execute models in production environment; communicate analytical results to Bank-wide stakeholders.
• Track portfolio performance, model performance, campaign tracking and risk strategy results.
• Incorporate observations and data into existing models to improve predictive results.
• Identify deviations from forecast/expectations and explain variances.
• Identify risk and/or opportunities.
• Support development and maintenance of satisfactory model documentation, including process procedures and performance monitoring guidelines to serve as reference source.
• Provide financial analysis and data support to other groups/departments across the Bank as required.
• Engage with colleagues in Model Risk Management for model validation exercises.

Credit Model Development Quantitative Analyst I – HELOC, Residential Mortgage

• Driving critical insights based on analyses for the app product team
• Create and own the experimentation process on our owned and operated platforms
• Provide actionable insights and recommendations for a variety of groups across the organization
• Independently write, implement quality controls, and train others to write complex SQL queries
• Share technical expertise with co-workers and teammates
• Work with internal teams on how they can best use data for decision-making
• Prioritize incoming work based on knowledge of departmental and organizational strategy
• Anticipate needs and develop research tools and reporting to address current and future business needs
• Deliver recommendations with a clear connection to business decisions
• Proactively communicate relevant insights to cultivate a learning culture across the organization

Senior Insights Analyst, Mobile Analytics

• Manage data, analytics, and reporting workflows for paid media campaigns, including reporting dashboard setup, QA, and troubleshooting.
• Strategically implement website analytics and conversion tracking.
• Execute audience onboarding and activation for paid media campaigns.
• Own functional areas of data reporting (e.g., Datorama ETL process, performance benchmarks) and/or substantial client analytics projects.
• Use statistical knowledge & critical thinking to generate accurate and actionable insights.
• Attend and lead meetings and calls with vendors, internal teams, and clients.
• Share and contribute to the agency’s strategic approach to media reporting and measurement.
• Create clean, professional visuals that make advanced technical concepts easy for non-technical audiences to understand.
• Pay close attention to platform releases, new ad tech, and emerging tools, assessing how they fit into BPI’s stack and making recommendations for broader team adoption.
• Directly manage Marketing Analytics fellows and provide mentorship to Marketing Analysts and Senior Marketing Analysts.
• Assist in training team members on marketing analytics processes and the agency's analytics/AdTech technology stack.

Marketing Analytics Manager

• Analyze large and complex healthcare claims datasets to support post-payment analytics, payment integrity initiatives, and program objectives.
• Develop, maintain, and optimize analytical datasets, reports, dashboards, and visualizations using Databricks and other analytics tools to support business and operational needs.
• Collaborate with program managers, functional leads, technical teams, and government clients to gather, interpret, and translate business requirements into actionable analytical solutions.
• Perform advanced data analysis to identify payment trends, anomalies, overpayments, and opportunities for operational improvement while ensuring data accuracy and integrity.
• Validate, reconcile, and monitor healthcare claims data to ensure consistency, completeness, and compliance with established data governance standards.
• Provide analytical expertise and recommendations to stakeholders by presenting findings, communicating insights, and supporting data-driven decision-making.

Senior Data Analyst – Post Payment Analytics

• Analyze website analytics data in Google Analytics (GA4) to identify key insights and opportunities for improvement across clients' digital properties and websites
• Support website development strategies by analyzing clients’ web performance data and recommending new digital KPI measurement opportunities
• Provide Google Analytics (GA4) support to clients, including setup and implementation, troubleshooting, and reporting
• Develop and maintain reporting dashboards in Google Data Studio to provide clients with regular insights into website and marketing campaign performance
• Implement reporting solutions that combine data across sources such as a client’s website, e-commerce and relationship management systems
• Implement and troubleshoot Google Analytics (GA4) and other tracking pixels using Google Tag Manager
• Run A/B testing and other data-driven experiments to optimize website and marketing performance
• Contribute analytics and SEO expertise to new business proposals and pitches, scoping measurement approaches for prospective clients

Web & Marketing Analytics Manager

• The Litigation Data Analyst – Mass Tort & Product Liability serves as a strategic insights partner to our premier mass tort and product liability practice.
• This position will leverage data analytics to guide litigation strategy, predict case outcomes, and optimize financial performance across complex multi-plaintiff litigation portfolios.
• Analyze historical verdict data, settlement patterns, and case characteristics to develop predictive models for case valuation and outcome probability
• Build comprehensive databases of comparable verdicts, settlements, and judicial decisions to support case strategy and client counseling
• Develop statistical models to assess likelihood of settlement versus trial outcomes based on case factors, jurisdiction, and opposing counsel profiles
• Create financial modeling frameworks to project settlement ranges, trial outcomes, and expected case values across different scenarios
• Monitor and analyze mass tort inventory performance, identifying trends in case development, settlement velocity, and financial outcomes
• Collaborate with litigation teams to understand case development challenges and translate them into analytical problems
• Structure complex litigation problems into clear analytical tasks, supporting strategic decision-making on case selection, resource allocation, and settlement timing
• Prioritize analyses based on case value, urgency, and strategic importance to the practice
• Design and build automated dashboards tracking key litigation metrics including case inventory, settlement rates, average case values, and practice profitability
• Create executive-level reports on practice performance, including revenue forecasts, cost analysis, and profit margins by case type and jurisdiction
• Streamline existing case reporting processes to ensure timely and accurate delivery of key performance indicators
• Present findings and recommendations in clear, concise manner tailored to different audiences (partners, associates, clients, experts)
• Clean, manipulate, and analyze large litigation datasets to extract trends, patterns, and actionable insights
• Use statistical and data modeling techniques to support litigation strategy and business development decisions
• Connect analytical findings to litigation strategy, financial outcomes, and client impact
• Partner with attorneys, paralegals, case managers, and finance teams to gather requirements and align on analytical objectives
• Collaborate with business development team to identify market opportunities and practice growth strategies
• Share knowledge and best practices with litigation teams to elevate analytical capabilities across the practice

Litigation Data Analyst – Mass Tort, Product Liability

• The Program Data Analyst provides analytical and program support services focused on data analysis, reporting, and operational insight to improve organizational transparency and decision-making.
• Analyze program data, develop dashboards, validate financial and performance metrics, and prepare reports that support leadership decision-making and program performance monitoring.
• Collaborate with program managers and stakeholders to generate insights, maintain accurate reporting, and support program operations.
• Develop and maintain Power BI dashboards based on program datasets to support operational visibility and reporting.
• Analyze financial and performance data to identify trends and generate insights.
• Prepare reports, visualizations, and briefings to communicate program performance to leadership.

Program Data Analyst

• Engage with our team of educators to validate and iterate the models that drive our analytics.
• Develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content.
• Synthesize knowledge into actionable tests to build modules assisting in identifying the academic needs of individual students.
• Collaborate with team members that think outside of the box, aiming to improve education through data infrastructure and insightful analytics.

Data Analyst Internship

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Provide analytical support, including the development of dashboards and reports using Tableau or Power BI.
• Offer strategic modeling, metrics, and analytical support to various U.S. Government agencies.
• Support cost modeling and cost-benefit analysis for various projects.
• Assist in the POM process, offering data-driven insights.
• Analyze and improve business processes using data analytics.
• Provide analytical strategy and support for ICE initiatives.
• Manage records data, including FOIA declassification and records scheduling.
• Generate monthly training reports, including supervisory training for both military and civilian personnel.

• support the data collection and analysis efforts involved with overseeing the implementation of a government program with respect to the care and placement of participants in a network of care providers
• enhance and develop reporting and analytics capabilities
• support forecast modeling
• develop automated reporting solutions and dashboards
• build briefing products
• conduct and deliver analyses
• coordinate/implement data collection efforts
• work within federal staff led functional lanes to enhance the collection and analysis of program data
• update and develop on-site data collection tools and processes to yield statistically reliable and informative data and support field program assessments
• assist in identifying performance outcomes and indicators
• conduct high-level data interpretation/analysis using a data analytics platform
• prepare written summaries and presentations that reflect data analysis results and present findings to agency leadership
• oversee the quality and the production of routine and ad hoc analytical reports
• assist in the training of contractor and field staff on the use of data collection and analysis tools
• compile, analyze, and visualize data using a data visualization platform such as Power BI or Tableau
• build data repositories/databases and provide ad-hoc data reporting as needed

Program/Data Analyst Advisor

• Design, build, and maintain the data models, dashboards, and reporting frameworks that give the commercial organisation clear, trusted visibility across the full commercial funnel
• Use AI tools as a core part of your analytical workflow — accelerating insight generation, improving output quality, and freeing up capacity for higher-order problem solving
• Run deep-dive analytical projects to surface patterns, anomalies, and opportunities in commercial data, translating findings into clear and actionable recommendations for commercial stakeholders
• Define and track KPIs that measure both business outcomes and the effectiveness of the processes driving them, creating a continuous improvement feedback loop
• Own preparation and follow-through for key internal meetings, strategic reviews, and cross-functional forums — ensuring the right data is in the room and decisions translate into clear next steps
• Build the analytical frameworks that underpin quarterly planning, forecasting, and target-setting, producing outputs commercial leaders can use directly
• Map, challenge, and rebuild core commercial workflows — including pipeline management, forecasting cadences, and sales incentive structures — into cleaner, faster, and more scalable ways of working
• Implement operational improvements end-to-end: not just designing the solution, but driving adoption and measuring impact with rigour
• Identify where AI can fundamentally change how commercial processes work, then build and deploy those solutions directly
• Develop a hands-on understanding of our commercial tech stack, diagnosing where friction, data loss, or missed opportunities exist
• Translate commercial problems into well-defined briefs that Product and Engineering teams can act on, bringing enough technical fluency to be a genuine peer in those conversations

Strategy & Analytics Manager – Travel Supply, AI

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• Collect, integrate, clean, and model data from multiple systems to support accurate analysis and reporting
• Analyze data to identify trends, risks, lifecycle status, technical debt, and system performance across service areas
• Develop dashboards and visualizations that clearly convey insights to technical and nontechnical audiences
• Recommend improvements to data processes, data quality, and workflow automation
• Track and report asset lifecycle data, project standings, schedules, and metrics supporting operational and tech refresh activities
• Prepare accurate datasets and analytical summaries to support forecasting, planning, and leadership decision making
• Respond to data requests and RFIs across engineering, operations, and tech refresh teams
• Produce high quality analysis artifacts and contribute to enterprise reporting and visualization products
• Analyze patching, compliance, and vulnerability data to identify noncompliant assets, track remediation progress, and support reporting requirements
• Produce weekly or monthly dashboards and metrics showing patch status, compliance trends, and security posture across systems and environments

Data Analyst – TS/SCI with Polygraph

• Provide meaningful business value through data visualizations
• Design, develop, and maintain interactive dashboards and reports using Power BI, Google Looker Studio, and Tableau.
• Collaborate with enterprise data analysts and data engineers to identify and acquire data, build data preparation workflows, govern, secure, and share data assets.

Junior Data Analyst

• Partner closely with national security clients and stakeholders to understand business needs, gather requirements, and support day to day account operations.
• Coordinate efforts across multiple offices to streamline business processes, identify pain points, and help teams adopt more efficient, reliable ways of working.
• Leverage data and AI enabled tools (SQL, Tableau, PowerApps, Salesforce CRM, etc.) to support account operations, organize information, and improve visibility for client teams.
• Help clients strengthen their data practices by assisting with validation, quality checks, documentation, and consistent operational standards.
• Translate leadership and client questions into practical analytical approaches that inform business decisions and highlight relevant trends.
• Prepare clear summaries, reports, and supporting documentation that enable clients and leadership to make timely, informed decisions.
• Guide non-technical audiences on how to use their organization’s data effectively to respond to fast turn requests and operational needs.

Data Analyst jobs in District of Columbia

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Senior Market Access Analytics Specialist

Senior Insights Analyst, Station Analytics

Data Analytics Co-Op

Credit Model Development Quantitative Analyst I – HELOC, Residential Mortgage

Senior Insights Analyst, Mobile Analytics

Marketing Analytics Manager

Senior Data Analyst – Post Payment Analytics

Web & Marketing Analytics Manager

Litigation Data Analyst – Mass Tort, Product Liability

Program Data Analyst

Data Analyst Internship

Senior Director, Enterprise Data, Analytics, AI & Automation

Data Analyst

Program/Data Analyst Advisor

Strategy & Analytics Manager – Travel Supply, AI

Data Analyst

Data Analyst – TS/SCI with Polygraph

Junior Data Analyst

Business Operations, Data Analyst