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Finny is a growth platform for financial advisors, backed by Y Combinator (S24) and Venrock ($17M Series A). The company uses AI-powered tools to help advisors find, engage, and retain clients, working with over 1,000 firms across the wealth management ecosystem.
You will be Finny's first analytics engineer, reporting to the VP of Engineering. You'll own the analytics warehouse end-to-end, building on dbt Core and Snowflake. The company is metrics-driven, and until now analytics has been a shared responsibility across teams. You'll consolidate this into a unified, well-governed structure.
Key responsibilities:
- Own the analytics warehouse day-to-day: staging and core models, dimensions, facts, and identity resolution across systems
- Define the metrics Finny runs on, with tests and documentation, ensuring all teams work from the same numbers
- Partner with operations, sales, marketing, growth strategy, finance, product, and engineering to turn business questions into models and reports
- Own the BI layer: select tools, implement a semantic layer, and maintain a small set of authoritative reports
- Ensure the warehouse is usable by AI tools for accurate question-answering
- Run the dbt project like software: version control, code review, CI, tests, and documentation
- As the data team grows, help hire and lead it
Success means: tested metric definitions, a trusted set of reports as the first place people look, AI tools answering questions correctly, and consistent coverage across all key business areas.
REQUIREMENTS:
- Typically 4+ years in analytics engineering, data engineering, or analytics, including owning models that other teams relied on
- Strong SQL and dimensional modeling (facts, dimensions, conformed keys, clear grain for every table)
- dbt (or equivalent tool) in production with git, tests, and CI
- Experience defining business metrics used for decision-making and resolving metric discrepancies
- Ability to work directly with non-technical partners, turning vague questions into clear answers
- Scrappy, ownership-oriented mindset; willing to jump in where help is needed
- Must be excited to work in-person, 5 days a week, in the Chelsea, NYC office
NICE TO HAVE:
- First or early data hire at a startup
- Experience modeling complex pricing, billing, subscription, or usage data
- Made data usable by AI agents (documentation, semantic layer, guardrails)
- Event analytics (PostHog or similar) and CRM data experience
