Top Entry Level Data & Analytics Jobs in Richmond, VA

Own and improve Vanta’s engineering, product, and design data systems by onboarding signal sources, standardizing data at ingestion, mitigating failure modes, and ensuring information is trustworthy and queryable. Build pipelines, internal tools, prototypes, and AI-enabled solutions; replace manual processes with engineering controls; collaborate with data producers and consumers; and help teammates develop their technical building skills.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

FTI's Skills Accelerate program hires recent graduates as Technology Consultants or Advanced Analytics Researchers to learn e-discovery, digital forensics, advanced analytics, and document review. Consultants work on client-facing engagements across investigations, litigation support, data privacy, and project management, receiving coaching and formal development and potential full-time placement post-graduation.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Supports data cleansing, quality checks, reporting, dashboards, data-source and metadata maintenance, data integrity, and normalization. Translates reporting requirements and analytical results for nontechnical audiences, handles sensitive information securely, and assists end users with reports and dashboards. Works under senior analyst guidance in a federal environment and must be able to obtain and maintain a Public Trust clearance.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.