Top Remote Data & Analytics Jobs in Hampton, VA

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

As a Business Strategy Analyst, you will conduct market research, develop strategic plans, build financial models, and analyze data to support decision-making for manufacturing customers.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Data Engineering Manager will lead the design and implementation of data ingestion frameworks, ensuring data quality and integration with governance tools. Responsibilities include mentoring staff, defining data contracts, and establishing best practices in data engineering.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

The role involves quality assessment of English to Dutch translations, including linguistic QA, building glossaries, and improving translation outcomes.

The Business Analyst will lead requirements gathering, document processes, evaluate solutions, and mentor junior analysts, ensuring project alignment with business needs.

The Energy Analyst will analyze energy data, manage utility billing integrations, create visualizations, and support sustainability performance metrics.

The Senior Data Engineer will design and operate data systems, optimize data pipelines, and enhance AI workflows for legal operations. Responsibilities include data modeling, implementing governance standards, collaborating with cross-functional teams, and mentoring junior engineers.

The FHIR Architect will lead data mapping for CMS interoperability, design FHIR-based data models, and mentor a team in healthcare data standards integration.

The Big Data Lead will implement ETL pipelines, ensure data integrity, troubleshoot PySpark applications, and integrate with existing frameworks while leading a team.