Top Senior Data & Analytics Jobs in Richmond, VA

The role involves optimizing decision-making through analyses, creating dashboards, and providing insights to drive revenue growth and enhance merchant relationships.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

As a Senior Data Analyst, you will analyze marketing performance, implement multi-touch attribution, and provide insights for strategic decisions.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

The Senior Data Engineer will architect, build, and maintain scalable data pipelines and infrastructure, mentor junior engineers, and collaborate on data solutions for Openly's insurance platform.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

The role involves migrating on-premises databases to AWS, developing Python scripts for data processing, and building AWS data pipelines. Responsibilities include supporting application teams, data modeling, and ensuring system efficiency.

The Senior Data Architect will develop and implement data strategies that align with client goals, utilizing various data management technologies, and leading teams to enhance data use and delivery.