Top Senior Data & Analytics Jobs in Richmond, VA

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.

Design and own data migration strategy and architecture. Map source-to-target data models, build data dictionaries, perform migrations and testing, reconcile results, and collaborate with stakeholders and project teams to ensure successful modernization.

Lead design, development, and optimization of data models, ETL, and reporting within Oracle Fusion Cloud. Investigate and resolve complex IT issues, ensure regulatory compliance, integrate Oracle with cross-functional platforms, document solutions, and support end-users through training and troubleshooting to drive clinical and operational improvements.

Design and build complex dashboards and interactive visualizations in Power BI and SAP SAC; integrate and model data from SAP BW, SAP HANA, and SQL; develop planning models and advanced formulas for financial/operational planning; gather requirements from stakeholders; optimize dashboard performance, manage data pipelines, and maintain report stability.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

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.

Design and build cloud-based data applications and pipelines to analyze clinical data, enrich and provision datasets, and support clinical/operational processes. Mentor junior engineers, drive R&D for repeatable templates, collaborate with Product/Platform/Architecture, and prioritize source control, documentation, and simple solutions using modern data, ETL, and LLM tooling.

Architect, build, and maintain Snowflake-based ELT pipelines and production data models. Implement observability, data quality, and governance; optimize cost and freshness. Partner with Analytics, Product, and Engineering, use dbt/CI-CD and AI-assisted tooling, and participate in reviews and architecture planning to support analytics, BI, and ML.

Lead development of scalable marketing data models, pipelines, and BI solutions. Partner with Marketing to define metrics, build dashboards, enable self-service analytics, and drive data governance and best practices.