Top Senior Data & Analytics Jobs in Washington, DC

Provide data visualization and analytics expertise for federal financial management modernization. Design and maintain enterprise dashboards, analyze large financial datasets, automate reporting, support audit readiness and reconciliation, develop data models and governance artifacts, and present findings to leadership to improve financial reporting, controls, and decision-making.

Designs, builds, and maintains secure cloud data pipelines and centralized repositories; publishes curated datasets; develops WPS AI agents; produces dashboards and visualizations for senior military leadership; supports NATO and annual statutory reporting and prepares technical briefings and deliverables.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Manage lab data processing services, ensuring compliance with ESI specifications, overseeing eDiscovery professionals, and consulting with attorneys on best practices.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Actuary will lead model development and validation in the Modeling & ALM team to support financial reporting and strategic decision-making.

Manage end-to-end funding transaction data workflows, validate PR/PO integrity, monitor burn rates and ULOs, track contract lifecycles, build automated Power BI/Tableau dashboards, perform ad-hoc forecasts and analyses, prepare leadership briefings, and ensure data governance and compliance for Directorate financial operations.

As a Data Scientist focused on policy, you'll analyze data to inform policy discussions, support partnerships, and measure impact on public perception. You'll collaborate cross-functionally to create clear evidence and frameworks for AI policy communications.

Develop and support Informatica ETL solutions (~70% development, 30% support). Build error-handling frameworks with Autosys/Control-M/Tidal, configure PowerCenter grid, use IDQ and MDM, perform performance tuning, Unix scripting, Teradata/SQL work, and data profiling/cleansing/standardization. Work includes Informatica Cloud and MDM tool tasks.

Design and implement enterprise data architectures, define data governance and modeling standards, collaborate with stakeholders, document data structures, evaluate data management technologies, and support data integration for analytics and business needs.