SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Jerry is building an AI-powered platform to manage all your physical assets—cars, homes, motorcycles, and more. Starting with car insurance in 2019, Jerry has grown to 5M+ customers, raised $240M+, and achieved profitability in early 2024. The company is now expanding into adjacent verticals to become a one-stop-shop for managing physical assets.
The Data Science & Analytics team is a core driver of Jerry's growth and decision-making. Team members are embedded within business units (Growth Marketing, Product Development, AI & Automation, Strategic Partnerships) and own the analytical function end-to-end for their domain. The team comprises former McKinsey, BCG, and Bain consultants who are first-principles problem solvers and analytical powerhouses.
In this role, you will:
- Define the right problems: Understand what business question an analysis answers and what decision it informs. Push back on flawed questions.
- Build data and insights: Define metrics, build reports, run analyses, design experiments, and surface insights that move key metrics.
- Drive outcomes: Bring recommendations to product, growth, finance, or operations counterparts, explain findings, and guide next steps.
You'll be embedded in one of Jerry's core business areas and own the analytical function for that unit end-to-end. This is a hands-on role combining strategy with execution—you'll surface insights, drive decisions, and see them through. The culture emphasizes no corporate fluff, no unnecessary slides or meetings, and direct ownership of critical domains.
REQUIREMENTS:
- 1+ 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 leadership level
- First-principles thinker who breaks problems into hypotheses before touching data
- Comfortable with SQL or Python
- Direct communicator who can walk skeptical stakeholders through complex findings
TOOLS: SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.
