Top Data & Analytics Jobs in Richmond, VA

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Leads enterprise data governance, GIS governance, master data management, data lifecycle oversight, metadata standards, and data quality remediation. Coordinates cross-functional stakeholders, guides ArcGIS platform use, develops governance documentation and training, and supports adoption of emerging data technologies across VDOT.

Provides GIS and geospatial expertise across environmental, infrastructure, and regulatory projects. Responsibilities include spatial and non-spatial data management, QA/QC, thematic mapping, spatial analysis, web maps, dashboards, field data workflows, cartographic production, and data integration. The role collaborates with multidisciplinary teams, supports project delivery, troubleshoots technical issues, improves repeatable workflows, and mentors junior GIS staff using Esri ArcGIS platforms.

Ten-week business analytics internship for college students. Interns analyze business data, solve challenges, create insights, collaborate with teams, present findings, and contribute to real-world projects. The program includes mentoring, formal training, leadership interactions, and professional development in analytics, strategy, communication, coding, and storytelling.

Lead data architecture for projects and data products by translating business requirements into scalable solution designs. Create architecture diagrams, data models, pipeline designs, decision trees, reusable frameworks, and standards. Evaluate scope, timelines, costs, trade-offs, and business value; lead proofs of concept; guide engineering and infrastructure teams; participate throughout the SDLC; mentor technical resources; and promote adoption of enterprise data architecture and Lakehouse solutions.

Lead a small team building Power BI reports, dashboards, and automations to deliver real-time portfolio insights. Own Power BI architecture, data modeling, SQL optimization, stakeholder engagement, QA, process improvements, and collaboration with data engineering to enable scalable analytics for underwriting decisions.

Develop and customize Data Warehouse reports using Excel by writing queries to connect to Oracle. Build and optimize SQL queries, understand Oracle database structures and tables, and tailor report outputs. Familiarity with how Excel generates reports from Oracle is required. Cognos Impromptu experience is a strong plus. Position requires 100% onsite relocation and candidates must be U.S. citizens or green card holders.

The Business Analyst collaborates with stakeholders to define business processes and software requirements for technology initiatives and document management systems.