Top Data & Analytics Jobs in Washington, DC

The Senior Data Analyst will provide analytical support for military assistance programs, ensuring data integrity, visualizations, and trends analysis while collaborating closely with clients.

Build and maintain centralized pricing data infrastructure, scalable workflows, and data pipelines; integrate AI capabilities; deliver pricing tools, reporting, and governance to support data-driven pricing and budgeting across the firm.

Design, build, and maintain MicroStrategy reports and dashboards. Create mockups, graphics, schema and public objects, perform testing, audit reporting, and troubleshoot discrepancies. Work with SQL/Teradata/SAS/Minitab and web HTML/ColdFusion environments. Gather functional requirements, present to senior management, and follow SDLC (Waterfall or Agile). Onsite at Washington, DC for a 6+ month contract.

Perform data quality checks, develop analyses and financial models, implement test plans, audit data integrity, prepare reports and present insights to stakeholders. Support small-to-medium client projects and product implementations, and collaborate across business units to manage parts of project/product lifecycles.

Support federal program by collecting, validating, analyzing, and reporting data. Maintain data dictionaries and metadata, develop dashboards and recurring reports, identify and resolve data quality issues, and collaborate with stakeholders to translate business needs into analytical products. Support continuous improvement and documentation of data processes.

Lead and execute qualitative and market research, policy analyses, and stakeholder engagements on data and technology in financial services; write and present research findings; manage project working groups and mentor junior staff; coordinate with analytics and academic partners for empirical workstreams.

Research and profile cryptoasset service providers (VASPs, custodians, exchanges) using on-chain and off-chain data. Apply AML concepts to assess risk, document findings to power entity screening and risk detection, collaborate with the Intelligence team, and help design/maintain automated pipelines and coverage processes.

Design and maintain dashboards and reports, perform deep-dive analyses to identify trends and anomalies, ensure data integrity with engineers and data scientists, automate reporting, and translate complex datasets into clear insights for non-technical stakeholders.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

Lead science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.