Data Scientist II, Insurance Partnership Analytics

What you'll do

• Develop strategic recommendations using internal and external data to create measurable value for partners.
• Create learning agendas and test plans to support agile, data-driven decision-making.
• Build analytical frameworks to evaluate partner performance, marketplace dynamics, and portfolio health.
• Query and analyze large-scale datasets using SQL to evaluate credit performance trends and growth opportunities.
• Design and maintain scalable reporting solutions in Tableau to deliver decision-ready insights.
• Support partner growth strategy by delivering structured analysis, scenario modeling, and executive-ready materials.
• Own end-to-end analytic work streams and define success and performance metrics for cross-functional groups.

What we're looking for

• 2–4 years of experience in analytics, strategy, consulting, finance, or a related quantitative field.
• BS/MS in Math, Statistics, Economics, Engineering, Business Analytics, Data Science, Finance, or a similar field.
• Strong SQL proficiency to independently extract, manipulate, and analyze large datasets.
• Experience building dashboards and performance reporting in Tableau, Looker, or similar BI tools.
• Demonstrated experience translating complex analysis into clear, actionable business recommendations for non-technical stakeholders.
• Solid understanding of statistical concepts and experience applying them to business problems.
• Financial services, Fintech, Consulting, or similar strategic or analytical experience (preferred).
• Hands-on experience with statistical programming languages like Python or R (preferred).