Top Data & Analytics Jobs in Richmond, VA

The Business Intelligence Analyst develops BI reports, communicates analytical findings, and supports Operations & Revenue Cycle Management through data-driven analyses and insights.

The Sales Analyst creates reports, analyzes data, and provides insights to optimize sales performance and business planning in a dynamic environment.

Lead data quality efforts by querying databases, reviewing data and dashboards, investigating data inconsistencies, and partnering with engineering, analytics, finance, and compliance to improve data integrity and regulatory adherence.

Lead end-to-end data conversion projects: analyze, map, transform, and validate large datasets; build and run ETL/ELT processes; resolve data quality issues; coordinate cutovers and go-lives; act as primary technical customer contact; mentor junior staff; and leverage generative AI tools to streamline migrations and improve delivery.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.

The SnapLogic Support Engineer provides L2/L3 support for integrations, monitors integration jobs, resolves data issues, performs root cause analysis, and engages with business users and vendors.

The role involves gathering requirements from stakeholders and developing comprehensive reporting solutions for supply chain operations in a remote setting.

The QA DB Integration Engineer will validate data integrations and APIs, ensuring data accuracy and end-to-end quality across business systems through various testing methodologies.

The Sr. Underwriting Ops Associate ensures operational integrity in underwriting processes by validating data, approving quotes, monitoring performance, and partnering across teams to resolve issues.

This role involves analyzing home renovation cost data and homeowner priorities, focusing on spending trends, emotional satisfaction, and resale value considerations based on surveys.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.