Top Data & Analytics Jobs in Richmond, VA

Translates environmental regulatory requirements into data specifications, business rules, workflows, system requirements, and technical documentation. Supports permitting, compliance, enforcement, reporting, system modernization, integration, data quality, process mapping, gap analysis, user acceptance testing, and staff training. Collaborates with regulatory program and IT teams in a hybrid Virginia-based role.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Leads and develops a data engineering team implementing Navigate360 integrations for partner campuses. Oversees integration design, data mapping, validation, reconciliation, quality controls, delivery planning, and scalable implementation processes. Partners with Product, Launch, and Partner Success teams to resolve technical and partner challenges, improve adoption, manage project health, and ensure reliable outcomes. Provides technical mentorship, code and design review, stakeholder communication, and continuous process improvement.

Leads project controls systems, reporting platforms, data governance, analytics, dashboards, and performance reporting. Integrates cost, schedule, risk, procurement, construction, and change data into unified reporting environments. Provides forecasting, trend analysis, and decision support to project leadership while driving automation and digital tool deployment. Coordinates requirements across clients, project management teams, engineering contractors, and construction contractors, and leads the project controls systems and analytics team.

Administer enterprise Oracle, Microsoft SQL Server, and PostgreSQL databases in high-availability hybrid cloud environments. Responsibilities include database installation, configuration, maintenance, performance tuning, security hardening, encryption, backup and disaster recovery, and migration to Azure Government Cloud. The role supports contract management and financial tracking systems, applies DISA STIGs, manages clustering and partitioning, and ensures mission-critical data availability for government users.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Leads enterprise data and actuarial technology strategy, modernization, architecture, delivery, operations, and production support. Owns cloud data platforms, actuarial applications, analytics, governance, resilience, controls, budgets, vendors, workforce planning, and regulatory readiness. Partners with actuarial, insurance, business, and technology leaders to execute multiyear roadmaps, modernize legacy systems, improve data quality and self-service analytics, and deliver measurable business value. Builds and leads a high-performing technology organization while overseeing risk, service health, disaster recovery, and operational performance.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, monitoring, validation, issue resolution, vendor management, releases, documentation, security controls, and lifecycle planning. Translates business and data requirements into platform solutions, coordinates cross-functional technology teams, and ensures reliable support for business intelligence, reporting, analytics, and AI use cases. Provides technical leadership and guidance without direct personnel-management responsibility.

Ten-week, in-person consulting internship focused on solving client business problems through data cleaning, relational database design, ETL, KPI analysis, data visualization, and executive dashboards. Interns collaborate in self-led teams with consultants and stakeholders to structure and analyze data. The role is based in Richmond, Virginia, requires 40 hours per week, and runs from June 1 through August 6, 2027.

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.