Top Senior Analysis Reporting Jobs in Richmond, VA

Lead Data Architect provides strategic and hands-on leadership for cloud data initiatives, designing Databricks-first lakehouse architectures in Azure, guiding multiple delivery teams, specifying scalable data solutions, evaluating technologies, and driving ingestion/integration strategies while influencing stakeholders and supporting implementation.

Seeking a Senior Business Analyst with over 8 years of experience, skilled in documenting business processes, requirements analysis, and Identity Access Management, preferably with SailPoint knowledge.

The Business Analyst will perform business analysis in Insurance and Claims management, create test plans, and manage requirements documentation. Strong SQL skills and process modeling experience are required.

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

The Senior SharePoint Business Analyst will oversee the migration from SharePoint 2010 to 2013, capturing requirements, documenting processes, and improving content organization and efficiency across divisions.

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.

The Senior Data Architect will develop and implement data strategies that align with client goals, utilizing various data management technologies, and leading teams to enhance data use and delivery.

Perform hands-on Epic data conversion activities including CCDA/PAMI ingestion, source-to-target mapping, ETL, data validation, reconciliation, mock conversions, cutover support, troubleshooting, and documentation to ensure accurate migration of clinical and operational data from multiple legacy EMRs into Epic.

Lead revenue analytics for GTM: own annual operating plan and weekly forecast, build propensity/churn/expansion models, architect the revenue data warehouse and identity resolution, define TAM/ICP, leverage AI to automate insights, and partner cross-functionally to maintain single-source-of-truth revenue metrics.

Design, build, and maintain scalable AWS data pipelines, data lakes, and warehouses; develop ETL/ELT processes; create and manage AWS QuickSight dashboards (including RLS, embedding, Topics/Spaces, and QuickSight Q); ensure data quality, governance, security; optimize performance; collaborate with stakeholders and support production reporting.