Top Data & Analytics Jobs in Washington, DC

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

The MDM PIM Manager at PwC oversees Product Information Management solutions, ensuring data quality, mentoring teams, and driving innovation in product data practices.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

As a Data Architect, responsible for leading the Enterprise Data Management project, supporting project goals, data governance, quality, and ensuring effective data delivery and analysis.

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

The Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Design, build, and maintain scalable data warehouses, marts, and BI reporting; create robust data models and pipelines; perform audits and data quality tests; collaborate with cross-functional teams to provide single-source-of-truth analytics and support business decision-making. Requires active security clearance.

The Analytics Manager II at BlueLabs leads data analysis, report generation, and client presentations. This role involves mentoring analysts, managing projects, and utilizing statistical tools and software to derive insights from large datasets.

Support FBI investigations by collecting, reconciling, entering, and organizing data from multiple sources; maintain case files and status; prepare reports, summaries, and responses; perform word processing and provide timely status updates; coordinate requests for additional information and perform other assigned duties.

Design and execute advanced inferential and predictive analyses and study designs for population and behavioral research. Support survey weighting, variance adjustments, sample blending, data preparation and quality monitoring. Contribute to technical deliverables, literature reviews, causal inference and synthetic data solutioning, visualizations, and stakeholder communication while collaborating with interdisciplinary teams and HPC engineers.