Top Remote Data & Analytics Jobs in Washington, DC

Support data collection, analysis, and reporting for a government care program. Develop data collection tools, identify performance indicators, conduct analysis and visualization (Power BI/Tableau), prepare summaries and presentations, train staff, oversee report quality, and help build data repositories and ETL processes.

Lead onboarding, mapping, and validation for a Customer Data Hub: write user stories and acceptance criteria, define mastering/transformation logic, perform data lineage and reconciliation, validate integrations and outcomes, support production incidents, create runbooks and documentation, and partner with product, engineering, QA, and governance teams to enable reliable customer data for applications and analytics.

Gather and document business requirements for GRC implementations, translate regulatory needs into functional specs, build dashboards/reports (SoD, remediation, control effectiveness), support client onboarding and process mapping, manage Agile ceremonies in JIRA/Confluence, and prepare audit-ready documentation while liaising between compliance stakeholders and technical delivery.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.

The Head of Data Science - Fraud Insights will lead research on fraud analytics, design predictive studies, manage a team, and communicate findings to influence strategy and policy.

Lead global MLE strategy for MMS and IFA programs: design M&E frameworks, oversee large-scale primary data collection and analysis, drive implementation research, advise regional teams and donors, support scale-up decisions, manage budgets and a direct report, and translate evidence into program adaptations.

The EV Data Analysis Lead will oversee data analysis projects, manage a team of analysts, and develop strategies to enhance transportation data services.

Design, develop, and maintain conceptual, logical, and physical data models for VHA VFMP modernization. Produce ER diagrams, data dictionaries, and metadata; translate business requirements into scalable database designs; support migration, data governance, security, testing, and collaboration with architects, developers, EDI teams, and IPTs to ensure high-volume, interoperable, and maintainable enterprise data solutions.

The Workday Analyst supports and improves the Workday Payroll module, focusing on systems analysis, technical support, payroll configurations, reporting, and process improvements for US and Canada payroll environments.