Data Analyst
About the role
We're looking for a Data Analyst to help turn Finance, Compliance, Insurance, and Actuarial questions into trusted answers and shipped analytical capabilities. You'll sit inside the FCIA team as the embedded data expert, working alongside Finance, Actuarial, Insurance Product, and Compliance leaders on the numbers that actually drive decisions — the metrics that shape how we price risk, manage reserves, close the books, and report to regulators.
Responsibilities
Own metric definitions for FCIA domains in the semantic layer — loss ratio, premium earning, reserves, unit economics by product and state — so every dashboard, query, and AI agent pulls from the same source of truth
Diagnose what's driving movement across loss ratios, reserve adequacy, premium pacing, and expense trends, and bring those findings into the Finance close cadence and monthly reviews where decisions actually get made
Build AI-assisted analytical tools — simulators, scenario models, agentic workflows — that let Finance and Actuarial partners explore "what if" questions without booking analyst time
Productionize recurring analyses so ad-hoc requests get replaced by governed, reusable capabilities that free the team up for higher-leverage work
Validate AI-generated outputs — SQL, summaries, recommendations — with the same rigor you'd apply to a junior analyst's work, because speed without judgment isn't useful
Partner across Engineering, Biz Ops, Insurance Product, Actuarial, and Finance on data projects that span the full policy lifecycle and financial close
Requirements
3+ years in a data analytics role, ideally at a fast-growing consumer, fintech, or insurtech company
Advanced SQL and working proficiency in Python or R for analysis, scripting, and lightweight tooling-a MUST to qualify for this role
Hands-on experience with the modern analytics stack — Snowflake or equivalent, dbt, a BI tool (Looker preferred), and Git-based workflows
Fluency with AI-assisted development tools like Cursor, Claude, or Copilot — and the judgment to know when the output needs to be challenged
Strong communication skills: you can defend a metric definition under scrutiny and explain a complex finding to a non-technical Finance leader without losing either audience
A bachelor's degree in Mathematics, Statistics, Computer Science, or a related field — or equivalent practical experience
Qualifications
Ready to work in an office environment at least 3 days a week from our New York location
Skills
AI-assisted development tools
Communication skills
Data analytics
Financial analysis
Python
R
SQL
Benefits
Leverage the latest technology and tools in the industry
Work with a dynamic and innovative team
Competitive compensation package including base salary range of $95,000 - $117,500 plus equity + benefits
Pay
$95,000 - $117,500
Schedule
Full-time