Top Data & Analytics Jobs in Richmond, VA

Process, validate and QA large survey datasets; produce datasets, tables, codeframes and documentation; support weighting, testing and statistical analyses; learn and apply Python/R, automation and AI-assisted tools; improve automated processing workflows under senior guidance.

Analyze product performance metrics and user behavior to drive insights for product improvements. Collaborate with teams to develop reporting practices, A/B tests, and dashboards to inform strategy.

Licensed MD applies clinical expertise to extract, model, validate, and maintain clinical relationships for a healthcare knowledge graph. Works with data scientists and SMEs to build training datasets, support CDS product development, ensure clinical accuracy, and provide analytics and evidence-based insights to improve search, discovery, and point-of-care workflows.

Senior technical leader defining Subaru of America's enterprise data architecture strategy across platforms, integration, governance, analytics, and security. Shapes 3-5 year data strategy, drives architecture standards, enables AI/agentic workflows, leads cross-functional solutions, mentors teams, and represents SOA externally to advance data capabilities and compliance.

As a Data Engineer, you will design and maintain data pipelines, support DoD systems, and ensure data quality and compliance.

Support Maui post-disaster recovery by managing and developing project data systems, building backend database structures, updating website front-ends, and producing internal and external data metrics and visualizations to inform project leads, improve forecasting, and enable transparent, resilient infrastructure decision-making.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Lead end-to-end encounter data management for CMS/state Medicaid submissions. Validate and optimize ETL converting source data into HIPAA X12 837P, support regulatory audits, analyze trends and root causes, liaise across business/technical/operations teams, and recommend process improvements to ensure compliance and data integrity.