Top Data & Analytics Jobs in Richmond, VA

The Data Analyst II is responsible for designing, developing, and administering data constructs, ensuring data quality, and working with large data sets while coordinating multiple streams of work.

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.

Oversee release management processes, ensure deliverables meet milestones, and adhere to change management protocols in a healthcare domain.

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

The candidate will support design, development, and maintenance of business intelligence visualizations using Microsoft Power BI, focusing on high performance reports.

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

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Leads commercial analytics and business intelligence strategy, including executive dashboards, account reporting, revenue and pricing analytics, operational KPIs, forecasting, segmentation, and predictive modeling. Partners with Sales, Finance, Marketing, Operations, and Product to improve revenue, profitability, customer retention, and marketplace performance. Presents insights to executives and customers while managing analytics teams, budgets, vendors, and BI scalability.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Owns automated dashboards, SQL-based analysis, data pipeline monitoring, exploratory analysis, and executive recommendations. The role tracks marketplace KPIs such as customer lifetime value, acquisition costs, churn, and provider utilization while partnering with engineering and product teams on data requirements. It is fully remote within the United States and requires advanced SQL, dashboard development, and strong analytical communication.