Top Data & Analytics Jobs in Washington, DC

Manage a global analytics case queue and fulfill reporting, order management, and ad hoc analysis requests. Build and maintain data models, Salesforce and Gong dashboards, and performance scorecards. Support sales compensation, incentive validation, quota goal sheets, territory management, pipeline health checks, and data integrity. Partner with Sales Operations, Finance, leadership, and field teams to ensure accurate, actionable reporting and timely commission processing.

Analyze chatbot and LLM performance, user feedback, conversation patterns, and operational metrics. Build dashboards, reports, alerts, and documentation using SQL, Python, BI, and monitoring tools. Conduct A/B testing, evaluate guardrails and RAG quality, identify data and workflow issues, and translate findings into executive recommendations, requirements, user stories, and prioritized product improvements.

Support affordable housing and land use consulting projects through GIS, spatial analysis, parcel prioritization, mapping, market studies, and quantitative and qualitative research. Analyze Census, PUMS, CoStar, and other datasets using ArcGIS, R, or Python; create publication-quality maps and graphics; provide technical assistance to local governments and community partners; collaborate with spatial analysts; review work products; and support project delivery, quality control, and client relationships.

Serves as the functional lead for an FBI Finance & Facilities Division business intelligence program. Gathers and translates stakeholder requirements into technical specifications, user stories, data blueprints, and acceptance criteria. Partners with developers to deliver executive dashboards, KPIs, and BI reports using FFDW and TIBCO WebFOCUS. Engages division leadership, develops documentation, leads user training, and drives business analysis workstreams within Agile delivery teams.

Designs, administers, secures, and optimizes hybrid Azure and on-premises database environments supporting NTIA. Responsibilities include managing Azure SQL Database, Managed Instance, and Cosmos DB; performance tuning; backup and disaster recovery; high availability; security and compliance; Azure monitoring; CI/CD automation; troubleshooting; standards development; and mentoring junior engineers.

Provides monitoring and evaluation support for public diplomacy programs. Manages Qualtrics survey approvals, user accounts, permissions, audits, dashboards, training materials, and standard operating procedures. Creates performance measurement surveys, data visualizations, and reports; cleans and analyzes quantitative and qualitative monitoring data. Supports the MODE Framework, stakeholder capacity building, general office administration, and related M&E activities while meeting deadlines with limited supervision.

Analyzes program data using statistical techniques, develops data collection systems, maintains databases, identifies trends and performance indicators, cleans reports, investigates data or code issues, and collaborates with program managers, evaluators, and quality assurance teams.

Analyzes and visualizes Tech Refresh data for an Intelligence Community customer. Responsibilities include assessing data quality, identifying trends and patterns, preparing stakeholder reports, recommending automation and process improvements, supporting data governance, and collaborating with engineers, programmers, and management on system modifications and operational decisions.

Conduct research and provide strategic advice on HR technology, data governance, HCM systems, and AI’s impact on HR. Develop thought leadership, market analysis, presentations, and client recommendations for CHROs and HR technology leaders. Track vendors and emerging technologies, support sales and conferences, review peer content, improve research processes, and mentor junior analysts. The role requires executive presence, strong analytical and communication skills, and collaboration with global clients, including at least 6–8 hours monthly supporting Asia-Pacific organizations.

Supports the Data team by monitoring incoming requests, selecting and running productionized jobs, checking outputs for accuracy, communicating status, and escalating out-of-scope work. The role emphasizes high-volume task execution, attention to detail, procedural consistency, professional written communication, and foundational command-line skills. A background check is required, with interest in progressive politics, voter data, and future growth into data services engineering preferred.