Top Data & Analytics Jobs in Richmond, VA

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

Lead KPI definition, forecasting, and experimentation for Telesales and Loyalty. Partner with Operations to identify drivers, run experiments, steward data, automate reporting, and share accountability for business outcomes.

Leads and develops a data engineering team implementing data integrations for partner campuses. Owns implementation approaches, scalable delivery processes, data mapping, validation, reconciliation, quality controls, project health, and capacity planning. Partners with Product, Launch, and Partner Success teams to resolve technical and partner challenges, improve integrations, and support adoption. Provides technical mentorship, design and code reviews, stakeholder communication, and continuous process improvement.

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.

Lead analytics for employee benefits and pharmacy cost management: gather, manipulate, and analyze claims data; develop predictive models and BI dashboards; manage deliverables and a team; support RFPs, contract evaluations, client reporting, and present findings to leadership. Provide actuarial certification if qualified.

Designs and maintains scalable data pipelines and platforms, develops ETL/ELT processes, and migrates heterogeneous external data into standardized enterprise models. The role includes data ingestion, transformation, quality validation, reconciliation, and billing-data standardization across systems. It collaborates with engineering, product, DevOps, and DBA teams, contributes to technical decisions, mentors engineers, and applies AI-assisted development tools. The position is based in Richmond, Virginia, with four days in office and one day remote.

Support enterprise data governance by curating metadata, managing business glossary terms, performing advanced data profiling/analysis, identifying anomalies, documenting issues, maintaining governance artifacts, and facilitating workshops to improve data quality and literacy.

Analyze business processes, systems, and datasets to define requirements, develop data models, implement governance and quality practices, and produce actionable insights. The role includes data profiling, ETL and data wrangling, statistical analysis, visualization, reporting, and stakeholder communication. Data Analysts collaborate with engineers, architects, scientists, product owners, and clients to solve complex business problems and support informed decision-making.

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.