Top Remote Data & Analytics Jobs in Washington, DC

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.

The role entails developing and executing pricing strategies to enhance revenue for Upwork, alongside conducting extensive market and data analysis to inform pricing decisions.

As a Data Scientist, you'll empower the company with data insights, develop metrics and experiments, and collaborate with various teams to drive product decisions.

The Revenue Operations Analyst will analyze performance metrics, conduct quantitative analysis, automate operations, and ensure data integrity to support revenue teams.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

As the Quality Management System lead, you will oversee quality management frameworks and processes to ensure compliance for Flow Cytometry software in biopharma environments, focusing on transforming OMIQ into a fully validation-ready solution.

The Data Migration Specialist manages customer data migrations, including planning, executing, and validating data processes across various formats, collaborating with cross-functional teams to support implementations.

The Manager of Sales Analytics will oversee sales reporting, pipeline health, and data integrity while collaborating with sales leaders to enhance performance and productivity. Responsibilities include managing a team, automating analyses, and ensuring data accuracy across various platforms.

The Finance Data Analyst will develop business solutions for finance operations using reporting software, create dashboards, and improve processes related to Order-to-cash and Procure-to-pay.

The Senior Analyst will support fundraising data-driven decisions, develop KPIs, analyze campaigns, and collaborate on revenue forecasting through data modeling, analysis, and reporting.