Top Analysis Reporting Jobs in Richmond, VA

The Business Analyst will manage functional test processes, analyze insurance claims, create test plans, and develop business and functional documents with strong SQL skills.

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

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.

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.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Lead development of Marriott's cloud data platform, build and own large-scale ETL pipelines on AWS and Snowflake, mentor engineers, manage service provider deliverables, ensure governance, data quality, deployment and production support, and research emerging AI/ML capabilities.