Data Analyst

We seek to fill a position on the MarketStance Data Team, transforming dozens of disparate data sources into a model of the U.S. economy and commercial insurance market. Your strong proficiency (2-3 years) programming in Microsoft SQL Server or similar relational database tool, interest in learning and applying knowledge about the U.S. commercial market, and great problem-solving skills in a scientific, mathematical, or analytical field outside of insurance will lead to success in this position. Operate and maintain data modeling and manipulation routines in a Microsoft SQL Server environment, predominantly consisting of Transact-SQL scripts and relational database objects Create data models, metadata, and conduct quality assurance for MarketStance products and consulting projects Leverage knowledge of U.S economy to inform exposure estimates Employ dozens of government, industry regulator, and private firmographic datasets Understand strengths, limitations, and scope of various data sources Develop advanced understanding of insurance industry coverages, rating components, buying propensity, loss modeling, and regulation Conduct secondary research related to commercial insurance Leverage the world’s largest repository of premium and loss data to assess market conditions and enhance MarketStance’s product suite Present research findings and data for internal and external clients Enjoy breadth of exposure and strategic influence over projects Spring 2026 graduates considered Required: Undergraduate degree in a strong research and problem-solving field—economics, natural sciences, math/statistics, or computer science Experience writing queries with MS SQL Server or another relational database tool Excellence in technical/analytical writing Ability to work both collaboratively and independently, but without task-to-task oversight Ability to work tasks and projects with which you have little or no prior expertise or familiarity MS Excel MS PowerPoint Preferred: Actuarial, underwriting, or research experience in insurance, particularly commercial lines Other Desired Experience: MS SQL Server Integration Services R or SAS Python Experience with open-source GIS software and libraries #LI-LM03 #LI-hybrid