Top Hybrid Data Analysis Jobs

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

This role leads actuarial research for Personal Auto products, driving innovation and strategy while collaborating with internal and external stakeholders.

The Staff Data Scientist will work with product teams to analyze data, identify improvement opportunities, design experiments, and create reporting dashboards to enhance contract management workflows.

The Senior Credit Risk Manager will oversee credit analysis, experimentation design, performance monitoring, and strategic decision support in the U.S. loans business.

The Staff Data Scientist analyzes customer funnel performance and designs frameworks to improve conversion rates and operational efficiency. Responsibilities include partnership with various teams, supporting experimental initiatives, and translating insights into actionable strategies.

Join Waterfall and help innovate NFT pricing mechanisms with a flexible role. Compensation varies based on role and experience.

The Graduate Growth Operations Associate will enhance user engagement through data analysis, process improvement, and managing engagement initiatives to boost user counts.

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.

As a Data Analyst, you will reconcile and normalize customer data, support onboarding processes, and improve database performance, directly impacting business operations.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.