Lemonade

insurance

DataAnalyst

$95–118k New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Analyst at Lemonade. Skills: Advanced SQL, Python or R for analysis, scripting, and lightweight tooling, Snowflake or equivalent, dbt, BI tool (Looker preferred), Git-based workflows, AI-assisted development tools. Own metric definitions for FCIA domains in the semantic layer. 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”

What You'll Achieve.

shipped analytical capabilities; metrics that shape how we price risk, manage reserves, close the books, and report to regulators; every dashboard, query, and AI agent pulls from the same source of truth; bring those findings into the Finance close cadence and monthly reviews where decisions actually get made; free the team up for higher-leverage work

Industry & Context.

insurance
Problems you'll solve

help turn Finance, Compliance, Insurance, and Actuarial questions into trusted answers and shipped analytical capabilities; Diagnose what's driving movement across loss ratios, reserve adequacy, premium pacing, and expense trends

Eligibility Requirements

Ready to work in an office environment at least 3 days a week from our New York location, unable to sponsor applicants for work visas, cannot consider applicants from these states: Alaska, California, Colorado, Montana, Hawaii, New Mexico and Puerto Rico

What They're Looking For.

Must Have

3+ years in a data analytics role, Advanced SQL, working proficiency in Python or R for analysis, scripting, and lightweight tooling, Hands-on experience with the modern analytics stack — Snowflake or equivalent, dbt, a BI tool, and Git-based workflows, Fluency with AI-assisted development tools like Cursor, Claude, or Copilot, communication skills, A bachelor's degree in Mathematics, Statistics, Computer Science, or a related field — or equivalent practical experience

Nice to Have

ideally at a fast-growing consumer, fintech, or insurtech company, Looker preferred, specific ML framework experience, cloud platform certs

What You'll Do.

Own metric definitions for FCIA domains in the semantic layer

Diagnose what's driving movement across loss ratios

and bring those findings into the Finance close cadence and monthly reviews

Build AI-assisted analytical tools — simulators

agentic workflows — that let Finance and Actuarial partners explore "what if" questions

Productionize recurring analyses so ad-hoc requests get replaced by governed

reusable capabilities

Validate AI-generated outputs — SQL

Partner across Engineering

and Finance on data projects that the full policy lifecycle and financial close

How You'll Work.

Team & Collaboration

working alongside Finance, Actuarial, Insurance Product, and Compliance leaders; Partner across Engineering, Biz Ops, Insurance Product, Actuarial, and Finance on data projects

Communication Scope

you can defend a metric definition under scrutiny and explain a complex finding to a non-technical Finance leader without losing either audience

Full Job Description

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, owned and governed by you, not passed off through a ticket queue. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll - 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 Produ

Free ATS check

Applying for this Data Analyst role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Ashby

  • Ashby is a fast modern ATS — most applications take under 3 minutes.
  • The resume parser is strong; verify parsed experience dates and job titles.
  • Custom screening questions are often scored algorithmically — answer completely.
  • Location field affects geo-based screening; use your actual metro area.

ANONYMOUS · UNFILTERED

What do employees actually say about Lemonade?

Real rants from real employees. Read before you apply.

Read Company Rants →