Top Data & Analytics Jobs in Hampton, VA

This 12-week internship supports workforce optimization through operational data analysis, staffing models, forecasting, scenario planning, and Power BI dashboard development. The associate will create predictive staffing tools, document dashboards, analyze branch expansion strategies, and present insights to stakeholders and senior leaders. The role requires collaboration with the Workforce Optimization team and participation in day-to-day analytical and strategic activities.

Analyzes and documents database requirements for ship maintenance systems, manages and optimizes databases, develops metrics, dashboards, reports, and custom queries, and supports data integration, quality, security, and analytics for NAVSEA decision-making.

Analyze multiple data sources, translate complex findings into actionable business insights, and communicate recommendations to cross-functional teams. The role supports Brand Management, Finance, Sales, and other partners by delivering real-time insights, influencing business decisions, solving ad hoc problems, and developing scalable analytics solutions that improve business results.

Design, build, and operate cloud-based data engineering solutions on GCP. Develop scalable batch and streaming pipelines, perform data modeling and transformations, optimize ETL/ELT workloads, monitor pipelines, and collaborate with stakeholders and BI teams to deliver enterprise data solutions in a Scrum environment.

Lead big data design and development using IBM's big data platform. Architect and build solutions for technical/scientific use cases with hands-on experience in Hadoop, Spark, HBase, Hive, Pig, and R. Communicate with customers, lead meetings, and guide diverse teams to deliver solutions.

The Manufacturing Analyst supports statistical analysis, data analytics training, and process improvement in collaboration with IT and technical teams, using various tools for data optimizations.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Leads enterprise data governance strategy, transformation, operating model modernization, accountability, and executive engagement. Partners with senior stakeholders to improve data trust, accessibility, regulatory alignment, risk management, analytics, AI readiness, and business outcomes. Represents the Data Office in strategic and regulatory forums, establishes roadmaps and performance measures, resolves cross-functional data challenges, and drives organizational change without direct authority. The role focuses on governance and transformation rather than engineering, coding, analytics delivery, or technical administration.

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.