Analytics Engineer at Fragile in San Francisco, CA

Summary: Fragile is redefining how hardware is built, financed, and distributed. The Analytics Engineer will convert raw operational complexity into decision-grade data products, tackling critical problems and owning the analytical layer that powers key decisions like underwriting, pricing, and capital allocation. Responsibilities: - Build and maintain scalable data models in Snowflake and dbt that power underwriting, merchant reporting, and portfolio analytics - Build dashboards, visualizations, and analytical tools that clearly communicate complex findings and help answer high-stakes business questions - Partner closely with engineering and finance to understand our ledger and AP, end-to-end - Work as part of a high-impact BizOps team tackling Fragile’s most critical and complex problems - Own projects end to end: scope analytical requirements, model data, validate outputs, and support high-stakes decisions Required Qualifications: - Bachelor's in Computer Science, a related technical field, or equivalent practical experience - 0–3 years of experience (strong recent grads welcome) or equivalent hands-on project experience - Strong SQL skills and comfort with data modeling (Snowflake, dbt, or equivalent) - Strong software engineering fundamentals (data structures, APIs, systems thinking) - Interest in fintech, e-commerce, operational analytics - Based in San Francisco (in-office collaboration required) Required Skills: SQL, Snowflake, dbt Important Skills: Python, Data modeling, Software engineering fundamentals Nice-to-Have Skills: Systems thinking, Fintech interest, E-commerce interest, Operational analytics interest Benefits: Health, dental, and vision insurance, Free daily lunch, dinner, drinks, and snacks, Free Waymo to and from the office daily, Relocation support to SF