Top Remote Senior Level Data & Analytics Jobs in Washington DC,

Design, build, and maintain production data pipelines and tooling (CI/CD, testing, validation) using Snowflake, dbt, and orchestration tools. Model, transform, document, and optimize data to produce reliable curated datasets for analytics and solutions, enforce engineering best practices, and mentor teammates while ensuring scalability, observability, and data integrity.

The Lead Insurance Data Analyst will analyze data in healthcare, focusing on insurance billing processes, consolidate data from multiple sources, and provide actionable insights for department improvements.

The Senior Director leads a team to drive insights for CMAA using real-world data, develops client relationships, and spearheads proposals for business acquisition.

The Business Analyst will document user stories, collaborate with product owners, lead scrum sessions, perform system analysis, and support implementation efforts. They will provide training and update process documentation.

Lead the design and architecture of production-grade data systems for reporting, focusing on data quality, performance, and engineering standards while mentoring team members.

As an Associate Director, you'll lead the design and implementation of integrations using iPaaS tools, manage teams, and help clients optimize ERP transformations.

Serve as a client-facing consultant translating business needs into technical specifications, delivering Liquid Data platform solutions, developing reports/dashboards, supporting implementations, and driving technology adoption while collaborating with internal teams and leveraging cloud, API, and BI integrations.

The Senior Korean Linguist manages translation and copy-editing tasks, coordinates with freelancers, and ensures high-quality Korean-language deliverables while improving workflows and supporting quality efforts.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Hands-on technical lead designing and delivering secure, scalable Azure analytics solutions. Lead solution architecture, guide implementation, mentor engineers, advise on Power BI architecture and governance, and support delivery, consulting, and reuseable asset creation.