Top Data & Analytics Jobs in Richmond, VA

The Principal Data Analyst will manage client analytics, enhance marketing operations, and produce automated reports, collaborating with stakeholders to optimize data-driven strategies.

Lead Data Engineer designing, developing, testing, and supporting cloud-based data solutions. Collaborate across Agile teams to build distributed, streaming, and batch data pipelines, mentor engineers, and optimize performance for data warehousing and machine learning use cases.

Design, develop, test, and support cloud-based data solutions and streaming systems. Collaborate with Agile teams, mentor engineers, and ensure performant, well-tested code for large-scale financial data workloads.

As a Site Selection Analyst, you will manage site selection documentation, track progress in Salesforce, coordinate with teams, and conduct research related to site evaluations and market assessments.

The Lead Healthcare Analyst will analyze healthcare data to drive program effectiveness, support strategy, and improve patient outcomes, collaborating with various stakeholders.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.