Related skills
looker snowflake sql python dbt📋 Description
- Own FCIA metrics in semantic layer: loss ratio, reserves, unit economics by product/state.
- Diagnose loss ratio drivers, reserve adequacy, and expense trends; present findings to Finance.
- Build AI-assisted tools: simulators and scenario models for what-if analyses.
- Productionize recurring analyses into reusable, governed capabilities.
- Validate AI outputs with rigorous checks before use.
- Partner with Engineering, Biz Ops, Insurance Product, Actuarial, and Finance on end-to-end data projects.
🎯 Requirements
- 3+ years in data analytics, ideally at a fast-growing consumer/fintech/insurtech.
- Advanced SQL and proficiency in Python or R for analysis.
- Snowflake or equivalent, dbt, Looker, and Git-based workflows.
- Fluency with AI-assisted tools like Cursor, Claude, or Copilot.
- Strong communication; defend metric definitions to non-technical Finance leaders.
- BS in Math/Stats/CS or equivalent; willing to work 3 days/week in NYC.
🎁 Benefits
- Equity included
- Benefits package
- Hybrid NYC office
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