Top Remote Data & Analytics Jobs in Hampton, VA

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Lead customer analytics to inform acquisition, retention, and reactivation. Build segments, maintain BI dashboards, track marketing KPIs and A/B tests, and partner with cross-functional teams to translate insights into marketing and product strategies.

Design and build end-to-end geospatial data systems: ingest and process satellite imagery into columnar/chunked stores, expose results via GraphQL/REST and FastAPI, build Next.js/React dashboards, automate with IaC and CI/CD, orchestrate pipelines with Prefect, optimize petabyte-scale I/O, and lead hiring, mentoring, and engineering best practices.

Build, refine, and maintain pricing models and bid-data pipelines using SQL and Looker/Tableau. Translate stakeholder requirements into technical specs, collaborate with Data and Engineering, perform deep-dive analyses, provide Tier 3 support for complex submissions, maintain documentation, and improve self-service BI reporting and automation.

The role involves leading comprehensive testing of Federal Amazon Connect solutions, ensuring compliance with security standards, mitigating risks, and collaborating with cross-functional teams to deliver high-quality products.

The Solutions Analyst delivers reporting and operational outputs, analyzes datasets, resolves issues, maintains solution components, and collaborates with teams to improve efficiency.

Build and maintain Sigma dashboards, analyze client workup data, develop predictive models to forecast case progression, evaluate team productivity, translate data into actionable insights, document methodologies, and collaborate with data engineering and legal teams to improve reporting and operations.

The Senior Credit Risk Manager will oversee credit analysis, experimentation design, performance monitoring, and strategic decision support in the U.S. loans business.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

Build and maintain AWS-based ETL pipelines (Glue/PySpark, MWAA/Airflow, Lambda) to ingest and process terabytes of financial data into an S3 data lake using Iceberg/Parquet. Implement metadata, monitoring, tests (90% coverage), materialized views (Trino/Athena), CloudFormation deployments, documentation, and support agile delivery and operations for federal clients.