Top Hybrid Data Analysis Jobs

Partner with product teams to design and evaluate experiments, build pipelines, dashboards, and reusable analytics assets, perform deep-dive analyses on product funnels and features, and communicate actionable insights to inform roadmap and OKRs.

Intern will design and execute quantitative analyses, build reporting tools, conduct revenue analyses, and learn about the ad tech industry while collaborating cross-functionally.

The RGM Analyst will analyze pricing, promotions, and market trends to support profitable sales growth, providing insights for decision-making, developing pricing models, and improving reporting processes, while collaborating with cross-functional teams.

As a Senior Data Scientist, you will develop predictive models, analyze healthcare claims data, and communicate insights that drive strategic decisions.

The Actuary will leverage actuarial insights to strengthen financial strategies, negotiate with health plans, drive value-based care initiatives, and educate teams on financial outcomes, focusing on modeling financial risks and securing at-risk contracts.

The Associate Data Scientist will support Visa's Global Consumer Payments Data and Analytics team by developing analytics and machine learning models, leveraging data to provide insights, and collaborating with various teams to address business challenges.

The Data Scientist Intern will assist with data analysis, model development, and generate insights for improving healthcare outcomes within a SaaS environment under guidance.

The Senior Analyst will support portfolio management by conducting analyses, preparing financial reports, and coordinating with asset management teams to enhance investment strategies across various real estate sectors.

As a founding Data Scientist, you will design models, automate reporting, and lead cross-functional data projects to support strategic finance decisions.

As a Data Scientist at Middesk, you'll build and improve data products, derive insights from data, and shape strategies for risk solutions while leading the data science function.

The Data Scientist will analyze data, design experiments, support decision-making, and drive product and business growth. Requires strong analytical skills and collaboration across teams.