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Jerry is building an AI-powered platform to manage all your physical assets—starting with car insurance and expanding into home, motorcycle, RV, and beyond. The company has reached 5M+ customers, raised $240M+, scaled revenue 70X, and achieved profitability in early 2024. They are now scaling toward 50M customers and a $10B valuation.
The Data Science & Analytics team is a core strategic function composed of former McKinsey, BCG, and Bain consultants who drive insights and inform decision-making across product, growth, tech, and operations. Each team member is embedded within a business unit—not running isolated analyses, but shaping what questions to ask, what data to pull, what conclusions to draw, and what decisions to make.
You will be hired into one of four focus areas: Growth Marketing, Product Development, AI & Automation, or Strategic Partnerships. In your role, you will:
- Define the right problems: Understand what business question each analysis answers and what decision it will inform. Push back on flawed questions.
- Build data and insights: Define metrics, build reports, run analyses, design experiments, and surface insights that move your team's key metrics.
- Drive outcomes: Bring recommendations to product, growth, finance, or operations counterparts; explain what's happening, why, and what next steps should be.
The culture emphasizes no slides (no 3am deck reformatting), no corporate fluff, and hands-on execution. You will own the analytical function for your business unit end-to-end, seeing work through from insight to decision to outcome.
Tools: SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.
REQUIREMENTS:
- 2+ years of experience at a consulting firm, investment bank, or high-growth technology company
- Strong analytical skills; ability to pull, structure, and interpret data independently
- Track record of owning ambiguous problems and delivering impact
- Clear, persuasive communicator who can influence decisions at the leadership level
- First principles thinker who breaks ambiguous problems into clear hypotheses before touching data
- Direct communicator who can walk skeptical stakeholders through complex findings and get buy-in
