Top Senior Data & Analytics Jobs in Richmond, VA

Lead partner analytics by building scalable dashboards, forecasting and ROI models, and experimental designs to evaluate and optimize partner performance. Collaborate with Product, BD, Marketing, and Data Engineering to improve pipelines, translate insights into recommendations, and mentor analysts to scale partner growth.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

Support data collection, analysis, and reporting for a government care program. Develop data collection tools, identify performance indicators, conduct analysis and visualization (Power BI/Tableau), prepare summaries and presentations, train staff, oversee report quality, and help build data repositories and ETL processes.

Design, build, and migrate large-scale batch data pipelines into Databricks. Develop and optimize production-grade Python/Spark/SQL solutions, support parallel legacy and cloud systems during migration, lead technical design discussions, use AI tools to improve workflows, ensure pipeline reliability through testing/monitoring/tuning, and participate in a rotating on-call schedule.

Translate web and marketing behavior data into actionable insights: measure website and marketing performance, analyze funnels and journeys, design and evaluate A/B tests, build reports and dashboards, monitor analytics integrity, and partner with cross-functional teams to define measurement and optimization opportunities.

No responsibilities or qualifications were provided. Title indicates a senior data engineering role typically responsible for designing, building, and maintaining data pipelines and data infrastructure.

Lead enterprise data governance strategy and programs. Partner with stakeholders to define policies, data ownership, stewardship, metadata, and MDM. Drive data quality improvements, document requirements, implement governance controls with architects/ETL teams, support governance councils, monitor KPIs, and ensure regulatory compliance.

Serve as liaison between business and IT to translate requirements into technical solutions. Analyze processes, develop and maintain automated workpapers and reports using VBA, Power Query, and SQL, support system design and testing, document workflows and user guides, improve automation and data integrity, and collaborate with stakeholders and IT to implement scalable reporting solutions.

Lead cross-channel customer experience analysis by combining quantitative and qualitative signals (NPS/CSAT/CES, contact center, digital analytics, transactional and complaint data). Design and run deep-dive investigations, translate findings into operational recommendations, coach analysts, partner with channel owners, and maintain measurement and narrative standards to drive quarter-over-quarter operational change.

The Data & Analytics Leader will develop a multi-year roadmap to enhance data governance and analytics capabilities, while fostering a data-driven culture throughout ERAC.