Top Remote Data & Analytics Jobs in Hampton, VA

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.

Supports benefit plan data and document accuracy through quality assurance, data validation, system testing, reporting, and process improvement. The analyst investigates discrepancies, validates system changes, participates in UAT and regression testing, maintains business application documentation, develops reports and validation tools, and collaborates with business, technical, compliance, and vendor teams to improve operational efficiency and data integrity.

Provides senior database administration and engineering for Navy MFOM application and infrastructure environments. Responsibilities include database design, implementation, testing, maintenance, upgrades, security, performance, backup and recovery, modernization, cloud integration, incident resolution, and technical documentation. Coordinates database changes and risks across software, systems, infrastructure, cybersecurity, and government stakeholders while providing technical leadership and continuity for mission-critical database operations.

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.

Build and optimize Snowflake data transformations across staging, curated, and conformed layers. Implement dimensional models, SCD Type 2 history, member matching, payer attribution, reconciliation, and member-month outputs. Develop restartable, testable processing with audit logging, error handling, data-quality checks, alerting, and schema-drift controls. Troubleshoot production issues, maintain documentation, participate in reviews and planning, and support client demonstrations.

Own Snowflake architecture and establish staging, curated, and conformed data-layer standards. Design dimensional, historical, identity, payer attribution, member-month, and temporal models for healthcare data. Define data quality, reconciliation, lineage, audit, exception, and operational controls while protecting sensitive information. Translate requirements into engineering designs, guide engineers, conduct design reviews, manage technical risks, and support sprint planning and estimates.

Leads advanced data analytics and engineering initiatives, including data infrastructure, ETL, pipelines, warehousing, governance, visualization, and AI-enabled solutions. Supervises analysts, manages data systems and Smartsheet workflows, ensures documentation and contract compliance, and delivers insights, reports, and recommendations to improve program operations and grant management.

Analyzes claims data to identify trends, patterns, risks, and business opportunities. Retrieves, validates, and prepares data from multiple databases; creates reports, dashboards, visualizations, spreadsheets, and presentations; supports forecasting and reporting needs; collaborates with claims, underwriting, product, IT, and leadership teams; and communicates recommendations for business decisions and process improvements.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Designs, develops, deploys, and supports complex enterprise data pipelines, data models, ETL/ELT processes, and analytical solutions. Leads data governance engineering initiatives involving metadata catalogs, lineage, data quality, and remediation. Builds governed, AI-ready datasets and integrates AI capabilities into production data workflows while validating performance, security, privacy, and reliability. Collaborates with business, technology, data science, and application teams to deliver scalable, compliant solutions.

Leads Development’s data and systems operations, including CRM and WeGive administration, platform integrations, data hygiene, reporting, governance, troubleshooting, documentation, and staff training. Manages the Constituent Records Management team and Business Solutions Analyst, oversees vendor relationships, validates system updates, supports donor-data security and compliance, and translates technical issues into operational recommendations for leadership.