Senior Analytics Engineer
About The Position
FINNY is a growth platform for financial advisors, using AI-powered tools to help advisors find, engage, and retain clients. The company is based in Chelsea, New York City, and works with more than 1,000 firms across the wealth management ecosystem. The Senior Analytics Engineer will be FINNY’s first analytics engineer and will report to the VP of Engineering. The role owns the analytics warehouse end to end, establishing its foundation on dbt Core and Snowflake. This includes building models, defining company metrics, and maintaining reports that teams can trust. The engineer will work with stakeholders across operations, sales, marketing, growth strategy, finance, product, and engineering. As the data team grows, this person will help hire and lead it. Success in the role means company metrics have tested definitions, authoritative reports are widely used, AI tools can answer questions about metrics accurately, and key business areas meet consistent data standards.
Requirements
- Typically 4+ years of experience in analytics engineering, data engineering, or analytics, including ownership of models relied on by other teams.
- Strong SQL and dimensional modeling skills, including facts, dimensions, conformed keys, and clearly defined table grain.
- Production experience with dbt or an equivalent tool, along with Git, tests, and CI.
- Experience defining business metrics used for decisions and resolving the causes of discrepancies between numbers.
- Ability to work directly with non-technical partners, turn vague questions into clear answers, and explain when something is not yet feasible and why.
- A scrappy, ownership-oriented approach, including willingness to help with work outside the job description.
- Excitement about working in person five days a week at the Chelsea, NYC office.
Nice To Haves
- Experience as a first or early data hire at a startup.
- Experience modeling complex pricing, billing, subscription, or usage data.
- Experience making data usable by AI agents through documentation, a semantic layer, or guardrails.
- Experience with event analytics tools such as PostHog or similar, and CRM data.
Responsibilities
- Own the analytics warehouse day to day, including staging and core models, dimensions, facts, and identity resolution across systems.
- Define company metrics with tests and documentation so teams work from consistent numbers.
- Partner with stakeholders across the company to turn their questions into useful models and reports.
- Own the BI layer by choosing the tool and semantic layer and maintaining a small set of authoritative reports.
- Make warehouse data usable by AI tools so they can answer questions correctly.
- Operate the dbt project using software engineering practices, including version control, code review, CI, tests, and documentation.
- Help hire and lead the data team as it grows.
Benefits
- Competitive salary and equity.
- Medical, dental, and vision insurance.
- Flexible paid time off.
- 401(k).
- Food and meals provided in the NYC office.
- Team offsites and events.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
