Top Data & Analytics Jobs in Richmond, VA

Lead design and implementation of the commercial data and systems foundation for launch and growth. Own Salesforce-led commercial systems, integrations, data warehouse, MDM, analytics enablement, governance, and scalable delivery to support commercial operations, reporting, and compliance.

The Senior Product Analyst will analyze data to inform product and engineering decisions, construct dashboards, and work alongside product, UX, and engineering teams to enhance solutions for customers.

The Revenue and GTM Insights Lead is responsible for developing dashboards, analyzing data, providing insights, and supporting revenue strategies across multiple functions.

Seeking a data scientist with strong skills in PySpark and Python to manage the end-to-end data science workflow, focusing on loyalty programs. Responsibilities include data transformation, predictive modeling, and client interaction to derive actionable insights.

The Solution Architect - Data will lead discovery sessions, translate business needs into data requirements, analyze datasets to validate hypotheses, and produce documentation to guide engineering teams, especially in a retail context.

The Analyst, Insurance Compliance will conduct insurance reviews, ensure accurate data management, and support exception management within a compliance platform, while learning insurance requirements.

The Business Analyst bridges business and development, analyzing requirements, creating user stories, and ensuring successful project delivery by collaborating with technical teams.

The Senior Database Administrator will manage database operations, design ETL solutions, oversee data pipelines, and coach junior team members, ensuring a reliable data environment.

The Strategic Pricing Analyst at Jamf analyzes financial and competitive data to inform pricing and monetization strategies, assess customer behavior, and suggest improvements for pricing structures.

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.