Senior Analytics Engineer

About FINNY

FINNY is a growth platform for financial advisors. We are on a mission to make great financial advice easier to find. Today, access to quality financial guidance is limited, not because advisors don't exist, but because the right connections are hard to make when it matters. We're fixing that with AI-powered tools that help advisors find, engage, and retain the clients they can genuinely help.

 

We've raised a $4.5M Seed from Y-Combinator in S24 and now $17M Series A led by Venrock. We work with over 1,000 firms across the wealth management ecosystem, and have been recognized as the leader in fintech innovation—winning #1 at the Morningstar Fintech Showcase, #1 at 2026 Wealthies, and being featured across the industry.

 

We're based in Chelsea, NYC, building fast and ambitious systems at the intersection of data, AI, and real-world wealth services.

 About the Team 

You'll join FINNY Engineering and report to our VP of Engineering. The team today is product and backend engineers and a data team. You'll be our first analytics engineer, building the foundation of the company's analytics warehouse on dbt Core and Snowflake.

 About the Role 

FINNY is a metrics-driven company. Until now, our analytics warehouse has been a shared role, divided across several teams. We're bringing it together in a new structure, on a new foundation, and we're hiring a senior Analytics Engineer to own it end to end: the models, the definitions of the metrics the company runs on, and the reports people trust.

 

You'll work directly with operations, sales, marketing, growth strategy, finance, product and engineering. Success looks like: the metrics the company runs on have tested definitions, a small set of reports is the first place people look, AI tools answer questions about those metrics correctly, and every key business area is covered to the same standard. As the data team grows, you'll help hire and lead it.

 What You’ll Do

• Own the analytics warehouse day to day: staging and core models, dimensions, facts and identity resolution across our systems

• Define the metrics FINNY runs on, with tests and documentation, so every team works from the same numbers

• Partner with internal stakeholders across the company to turn their questions into models and reports they use

• Own the BI layer: choose the tool and semantic layer, and keep a small set of authoritative reports

• Make the warehouse something AI tools can answer from correctly

• Run the dbt project like software: version control, code review, CI, tests and documentation

 What We’re Looking For

• 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, and a clear grain for every table

• dbt (or an equivalent tool) in production, with git, tests and CI

• You've defined business metrics people used to make decisions, and fixed the cause when two numbers disagreed

• You work directly with non-technical partners and turn vague questions into clear answers—and say "not yet" with a reason

• Scrappy, with ownership: you jump in where help is needed, including work outside your job description

• You're excited to work in person, 5 days a week, in our Chelsea, NYC office

 Nice To Have

• First or early data hire at a startup

• Modeled complex pricing, billing, subscription or usage data

• Made data usable by AI agents: documentation, a semantic layer, guardrails

• Event analytics (PostHog or similar) and CRM data

 Compensation & Benefits

FINNY offers a competitive compensation package including:

• Competitive salary and equity

• Medical, dental, and vision insurance

• Flexible paid time off

• 401(k)

• Food and meals provided in our NYC office

• Team offsites and events

Equal Opportunity Employer

FINNY is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.