Top Remote Data & Analytics Jobs in Washington, DC

The Underpayment Analyst ensures accurate compensation for hospitals by analyzing claims, resolving discrepancies, and improving reimbursement processes while maintaining compliance with regulatory guidelines.

Support client-facing performance measurement and reporting: calculate and validate outcomes, maintain dashboards and metrics, automate repeatable workflows, improve metric governance, and translate results into clear insights for internal and external stakeholders.

The Data Insights Analyst role involves transforming data into actionable insights, using advanced analytics, coding analyses, and communicating findings for strategic decision-making.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.

Lead centralization of performance data, define KPI standards, build scalable data infrastructure and executive dashboards (Looker), deliver cross-functional performance insights, forecasting, and predictive models to drive margin, LTV, and capital allocation decisions.

The Data Analyst I at Acorns will analyze data, optimize customer journeys, and collaborate with teams to provide actionable insights for product improvement.

Ensure timely, high-quality data conversions from legacy systems to new platforms. Work with Implementation Specialists and Project Managers to execute conversion tasks, validate data integrity, troubleshoot issues, support deployments, and assist scheduling and customer communications.

Analyze media performance data to guide buying decisions, build predictive models and dashboards, and evaluate a media optimization platform.

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.

The role involves architecting data solutions, building data products in Snowflake, establishing data standards, and enabling self-service data access while ensuring data quality and compliance.