Top Remote Data & Analytics Jobs in Washington, DC

The Data Entry Clerk will accurately input, update, and maintain insurance data, perform quality checks, and assist with clerical tasks.

The Staff Risk Analytics role involves overseeing fraud risk management, developing strategies, leading cross-functional initiatives, and providing real-time analytics in fintech.

The Data Architect will design and implement a robust data warehouse and reporting platform on Azure, ensuring data quality and governance while modernizing the existing systems.

As an Analytics Engineer, you'll lead the transformation layer of data, focusing on data quality, refactoring for clarity, and optimizing costs in BigQuery. You'll work closely with cross-functional teams to ensure effective data use and architecture as the foundation for AI initiatives.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

The Strategic Insights Lead analyzes healthcare data to shape business strategies, delivers impactful insights, and collaborates with various teams to ensure clarity and actionability in findings.

The Associate Director, Commerce Data leads data organization and usage to measure success and enhance business growth, collaborating across teams and ensuring data accuracy and reliability in reporting and forecasting.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.