Top Senior Data & Analytics Jobs

The Associate Director/Director of Regulatory Affairs develops strategies for advertising and promotional materials, ensuring compliance with FDA regulations and offering guidance to commercial teams.

Lead analytics and operations work to ensure data trustworthiness, define standards and acceptance criteria, investigate large datasets for quality and downstream impacts, build automated workflows (including AI-assisted tools), translate findings into narratives for stakeholders and clients, and partner with engineering and product teams to close data reliability gaps and mentor junior analysts.

Lead analytics and operations efforts to ensure trustworthy, consumable data outputs. Investigate datasets, define standards and acceptance criteria, build automation and AI-assisted workflows, partner with engineering/product, and translate findings for technical and non-technical stakeholders.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

The Mid-Level Data Analyst will support data analysis, visualization, and reporting for Federal clients, transforming data into actionable insights.

The Senior SEO Manager will lead Later's SEO strategy to drive organic growth, improve conversion rates, and enhance brand authority, by developing and executing comprehensive SEO plans and collaborating cross-functionally.

The Senior Analytics Engineer will build and optimize data infrastructure to drive data-driven decision-making, creating actionable insights for therapy and business teams.

The role involves delivering revenue analytics, forecasting, reporting, and collaborating with cross-functional teams to drive revenue growth using data-driven insights.

The Data Analyst supports the Production Finance team by providing data analysis, reports, and insights to drive decision-making and improve data processes.

The role involves developing risk analytics frameworks, collaborating with investment teams, and providing risk insights across various credit portfolios.

The Staff ML Data Engineer will design and build scalable data systems for machine learning, collaborating closely with researchers and engineers to enhance data pipelines and ensure data quality.

As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.