SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Jerry.ai is a high-growth fintech platform that started with car insurance in 2019 and has scaled to 5M+ customers with $240M+ in funding. The company has become one of the top 3 insurance brokers in the U.S., achieved profitability in early 2024, and is now expanding into adjacent verticals (home, motorcycle, RV) to become a one-stop-shop for managing physical assets.
The Data Science & Analytics team is composed of former McKinsey, BCG, and Bain consultants who drive insights and inform decision-making across the entire organization. The team operates as embedded analytical partners within business units—not just running analyses and dashboards, but shaping strategic questions, data collection, conclusions, and decisions.
You will be embedded in one of Jerry's core business areas (Growth Marketing, Product Development, AI & Automation, or Strategic Partnerships) and own the analytical function end-to-end for that unit. Your responsibilities include:
- Define the right problems: Understand what business question an analysis answers and what decision it informs. Push back on flawed questions.
- Data and insights: Define metrics, build reports, run analyses, design experiments, and surface insights that move key metrics.
- Drive outcomes: Present recommendations to product, growth, finance, or operations counterparts, explain what's happening and why, and guide next steps.
You are a first-principles thinker who breaks ambiguous problems into clear hypotheses before analyzing data. You're analytically strong (SQL or Python) but instinctively ask "what are we solving?" before "what should I build?" You communicate directly and persuasively, walking skeptical stakeholders through complex findings to secure buy-in. You act like an owner—if something is broken, you feel responsible for fixing it, even outside your direct scope.
The culture emphasizes impact over process: no slides, no corporate fluff, no unnecessary meetings. Your day-to-day is hands-on execution—surfacing insights, driving decisions, and seeing them through end-to-end. The team is 14 insatiable learners who care deeply about solving difficult problems and making tangible impact.
Tools: SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.
