Top Senior Level Analytics Jobs in Washington DC,

As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.

Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.

This is an invitation to join a talent community for Senior Operations Leaders at HelloFresh. Members receive updates on job openings, career tips, and events.

The Sr. Global Privacy and Data Protection Counsel at Pendo will oversee global data privacy needs, ensure compliance with privacy regulations, lead legal activities related to Pendo’s privacy program, and provide counsel to various business units. The role requires collaboration with product and engineering teams, as well as training the legal department on data privacy regulations.

As a Market Intelligence Analyst, you will conduct market research and analysis of the semiconductor capital equipment market, develop financial models, provide strategic recommendations to senior leadership, and collaborate with various teams to implement market strategies and campaigns.

Seeking an experienced Research Scientist in Biophysics to develop and apply biophysical simulation techniques to generate actionable insights for drug discovery. Must have strong Python skills and a track record of innovation in simulation methods.

As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.