Top Data & Analytics Jobs in Richmond, VA

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

Lead large-scale migration of document-heavy legacy systems into cloud, convert unstructured documents to analytics-ready data, build MuleSoft integrations and APIs, apply DataWeave transformations, ensure data quality, lineage, governance, and support Salesforce Data 360 implementation and cutover in Agile teams.

As a Data Entry Research Panelist, you will participate in research studies remotely, contributing to meaningful outcomes while enjoying flexible working hours. Training is provided, and no prior experience is necessary.

The candidate will support design, development, and maintenance of business intelligence visualizations using Microsoft Power BI, focusing on high performance reports.

The Business Analyst collaborates with stakeholders to define business processes and software requirements for technology initiatives and document management systems.

The Business System Analyst will identify process improvements, generate system requirements, develop stories for Agile development, and collaborate with stakeholders for successful implementations.

The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.

Perform Ukrainian- and English-language open-source research and document review to assess KYC, sanctions, AML, and supply chain risks. Use Exiger's DDIQ and shipping databases to identify risk-relevant information, produce client-ready narratives, onboard and train users, and advise on tool usage. Support U.S. government clients with timely, accurate due diligence and risk assessments.

Lead Southern California risk, actuarial, and analytics strategy for employee benefits. Serve as market-facing advisor, drive client retention and growth, oversee advanced modeling (funding, stop-loss, forecasting), lead analytics team, scale delivery, and partner with national centers of excellence to align tools and execution.

The Data Architect develops strategies for data delivery implementations, enhances data use, ensures effective information stewardship, and guides talent in data analytics.