Top Data & Analytics Jobs in Washington DC,

The role involves developing quantitative investment strategies using analysis, collaborating on investment ideas, and enhancing research processes with innovative methodologies.

The Data Analyst II will analyze large datasets, create visualizations, and ensure data accuracy to support decision-making and improve operations.

Manage projects and teams to leverage data and technology in M&A, driving strategic insights and improving deal decisions through advanced analytics and AI.

The Senior Revenue Analytics Manager will provide analytics and insights for GTM teams, support forecasting, develop dashboards, and analyze sales performance to improve revenue efficiency.

Ensure customer data accuracy and reliability by validating backend systems, querying and analyzing healthcare datasets, troubleshooting ingestion and orchestration failures, monitoring workflows, supporting customer technical discussions, documenting investigations, and collaborating across teams to deliver scalable data quality solutions.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

This role oversees the design and evolution of finance reporting solutions using Power BI, collaborating with global finance teams to create scalable analytics and insights.

The AI Financial Planning Analyst reviews and improves financial guidance from AI systems, works across teams to enhance member experiences, and ensures compliance with regulations.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.