Top Senior Analysis Reporting Jobs in Richmond, VA

The Senior Manager of Data Analysis will manage validation projects, assess analytical tool risks, and mentor junior staff while collaborating cross-functionally and enhancing analytical capabilities.

As a Senior Marketing Analyst, you will provide data-driven insights to drive marketing strategy, analyze campaign effectiveness, and manage analytics for B2B growth.

Support enterprise data risk management by testing and validating data controls, analyzing data to identify risks, advising lines of business, and recommending process improvements and automation to strengthen data governance and reduce risk.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

As a Principal Product Analyst, you will lead product analytics for unsecured installment products, executing high-impact analyses, optimizing user journeys, and collaborating cross-functionally to drive data-informed product strategies.

This role drives data-driven decision-making in product analytics, collaborating with cross-functional teams to generate actionable insights and evaluate new launches to enhance platform growth.

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.