Top Data & Analytics Jobs in Washington, DC

Analyzes large datasets to identify insights supporting mergers, acquisitions, diligence, and value creation decisions. Develops data models, dashboards, visualizations, and statistical or predictive analyses; cleanses and validates data; uses Python, SQL, Alteryx, Power BI, or Tableau; researches client and market information; documents findings; and collaborates with senior team members on project deliverables.

Own analytics engineering for the machine infrastructure supply chain team. Build and maintain semantic layers, trusted data models, metrics, dashboards, and analytics-ready datasets using dbt and modern data platforms. Analyze inventory trends, optimize stock levels, investigate discrepancies, and develop supply chain KPIs. Partner with data engineering, finance, product, operations, planners, and buyers while improving inventory planning, replenishment, ERP processes, and warehouse efficiency.

Own and maintain dbt data models across design, testing, deployment, monitoring, and documentation. Translate ambiguous Marketing and Product needs into reliable data solutions, write design documents, support production issues, create runbooks and schema documentation, and coach junior engineers. The role uses SQL, Python, Snowflake, dbt, Dagster, and AWS while partnering closely with Marketing, Data, and MarTech teams.

The Deployment Strategist collaborates with teams to deploy software solutions, analyze data, and train customers while addressing complex operational challenges.

Analyze Medicare and Medicaid datasets, design analytical approaches, review R and SAS programming, build healthcare financial models, and translate complex findings into visualizations, presentations, publications, and policy recommendations. The role manages multiple consulting projects, collaborates across teams, presents results to clients, and supports healthcare policy and business decisions.

Conduct theoretical and empirical research in mortgage finance, including residential property valuation, home price index estimation, and forecasting. Apply statistical, mathematical, econometric, data mining, and programming techniques using SQL, R, and Python. Develop and validate quantitative models, assess model risk and performance, interpret results, and provide business recommendations. Communicate technical findings through presentations, white papers, review reports, and work papers.

Develops and maintains business reports, SQL queries, dashboards, and data visualizations to support organizational decision-making. Analyzes trends, validates data, fulfills internal and external data requests, documents business definitions, and provides actionable recommendations. Partners with stakeholders, Product Management, Data Operations, and technology teams to improve reporting, data governance, forecasting, KPI tracking, and operational efficiency.

Analyze, clean, validate, integrate, and visualize data to support Department of State public diplomacy operations. Develop dashboards, reporting tools, automation, and data governance documentation using platforms such as Power BI, Tableau, Power Apps, and Power Automate. Partner with stakeholders to define data requirements, address quality issues, improve data policies and processes, and advance data-informed decision-making.

Lead HR-focused data management, governance, analytics, and visualization efforts for a public diplomacy office. Consolidate and clean HR datasets, define data requirements and governance, develop interactive dashboards (Tableau/Power BI), provide insights to leadership, advise on data policies, and build data literacy across stakeholders.

Lead data architecture and database operations for ACWS. Develop and maintain data pipelines, mappings, integrations, and reporting feeds; support migration, transformation, validation, reconciliation, and data quality management. Coordinate requirements across BI, application, architecture, and database teams. Document data flows and transformation logic, and recommend improvements to reliability, automation, analytics readiness, and governance.

Supports an IT portfolio within a PMO by analyzing controls, identifying process improvements, creating dashboards and reports, documenting requirements, and coordinating stakeholders across IT, Finance, and Acquisition. The role performs process gap analysis, supports compliance monitoring, manages SharePoint and Jira/Confluence environments, facilitates meetings, and recommends technology and product improvements. It requires strong business analysis, communication, reporting, Agile, cloud, and systems lifecycle knowledge.