---
title: 'Data Analyst at Harper'
canonical: 'https://feeny.ai/job/data-analyst-harper-san-francisco-93nb7rksmnsn'
type: 'job'
last_seen: '2026-09-12'
---

# Data Analyst at Harper

- **Company:** Harper
- **Location:** San Francisco, CA
- **Compensation:** $140k–$180k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-22
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/harperinsure/3509ecc5-e8c2-43c6-911d-01bd4a984c0f

## Job description

Data Analyst

Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance — we're rebuilding the entire business as software, on a simple bet: turning expert human judgment into compute is one of the largest transitions left to make, and a trillion-dollar industry still run 90% by hand is the place to prove it. We've grown ~100x in the last year and we move at that speed — on-site, in person, long days, very high standards. Almost no one joins Harper for insurance; they join to build the company that replaces how it works.

## The role

Harper's GTM Engineer builds the data infrastructure. You're the one who tells us what it's saying. Every morning you'll wake up asking the same question: what does the data want us to do today? You sit closest to our Growth Marketing Lead, synthesizing signal from across every channel and turning it into clear, confident recommendations they can act on. You're not a report generator — you're an analytical partner who helps drive decisions, translating the noise into the two or three things that actually matter and helping the team move on them.

You're a growth-oriented data analyst who's as comfortable drawing a conclusion as you are running the query that supports it. You've worked closely with marketing or growth teams before — not as a data service desk, but as a real partner in the work. You know what good channel performance looks like, you understand the metrics that matter in paid acquisition, and you can translate a cohort analysis into a budget recommendation without anyone having to ask. You report to the Head of Marketing, work day-to-day alongside the Growth Marketing Lead, and collaborate closely with the GTM Engineer who owns the underlying data systems. Winning in 6–12 months looks like the growth team making better decisions faster because you're in the room.

## What you'll do

- Synthesize channel performance. Pull together data across paid, organic, and partner channels — and identify what's working, what's not, and what to do about it.
- Partner with the Growth Marketing Lead. Serve as their analytical right hand; translate data outputs into clear recommendations they can act on in real time.
- Own growth KPI reporting. Define, maintain, and communicate core marketing and funnel metrics so the team is always looking at the right numbers.
- Build and maintain LTV/CAC analysis. Give leadership a clear, current picture of unit economics by channel, cohort, and customer segment.
- Run experiment analysis. Evaluate A/B tests and campaign experiments — and turn results into decisions, not slide decks.
- Surface what the data is asking for. Proactively flag trends, anomalies, and opportunities before anyone has to ask you to look.

## Who you are

- You've worked as an analytical partner to a marketing or growth team — not just supported them from a distance.
- You can draw a clear conclusion from messy data and defend it in a room with people who will push back.
- You think in recommendations, not just findings — you're not done until you've said "and therefore we should…"
- You're fast: you can turn a question into an answer in hours, not days.
- You understand paid acquisition channels well enough to have opinions about where the budget should go.
- You thrive in a high-tempo environment where the questions change faster than the data does.
- You're based in San Francisco or willing to relocate.

The reality — read this before you apply

This is a decision-driving seat, measured by the decisions your analysis changes — not dashboards shipped or tickets closed. It's on-site in San Francisco, in person, long days, high standards. The questions move fast and the data is messy, which means you'll be expected to draw a conclusion and stand behind it, often before the picture is fully clean. You're the analytical engine for the growth team, so when a number looks wrong or a channel turns, finding out why is yours — frequently the same day.

This is explicitly not a data service desk, and it isn't a place to produce reports no one acts on. Almost no one takes it for insurance — they take it because being the analytical right hand to a growth team at a company scaling ~100x, with a direct line from your recommendation to where the budget goes, is a rare seat. If being measured on decisions is the appeal, apply. If it's a deterrent, it won't get easier here.

## Compensation & logistics

- Salary: $140,000–$180,000, plus performance bonus and equity.
- Location: On-site, San Francisco. Based here or willing to relocate.
- Schedule: Monday–Friday, long days, in the building with the team.

## Benefits

- Uber commuter benefits
- Meals provided — breakfast, lunch, and dinner
- Snacks, drinks, and coffee stocked daily
- Free gym membership
- Health, dental, and vision insurance

## Requirements

- 4+ years of analytics experience with direct exposure to marketing, growth, or revenue teams
- Strong SQL; Python proficiency preferred
- Hands-on experience with funnel analysis, cohort analysis, attribution, and LTV/CAC modeling
- Experience analyzing paid acquisition channel performance (Google, Meta, or comparable)
- Proven ability to communicate analytical findings clearly to non-technical stakeholders and drive decisions
- Experience partnering with a marketing or growth counterpart to act on data in real time — not just produce reports

## Nice to have

- Familiarity with PostHog, Mixpanel, Amplitude, or comparable product analytics platforms
- Experience working alongside a data engineer or GTM engineer and understanding how data pipelines work
- Background in insurance, fintech, or another industry with complex funnel and attribution dynamics
- Exposure to AI-assisted analytics workflows and modern BI tooling
- Experience in a high-growth startup environment where speed and adaptability were required

Process

- People screen — fit and alignment
- Lead screen — skills and judgment
- Super day — how you operate in real time

To apply

Send your resume and an example of analysis you ran — what you recommended, and what the team did with it.

## About Harper

## Company Overview

- **One-liner**: Harper is an AI-native commercial insurance brokerage that uses data and automation to help mid-sized businesses secure optimal coverage faster and at lower cost.
- **Entity Type**: Private startup (Y Combinator Winter 2025, raised $47 million)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Dakotah Rice (CEO) and Tushar Nair (CTO)

## Core Business

- Primary industry: Commercial insurance (Excess & Surplus lines brokerage)
- Target customers: Mid-sized businesses with complex insurance needs, spanning technology, life sciences, aerospace, construction, and consulting
- Mission: "We want to become the largest insurance brokerage in the world with the best NPS." (Source: [Y Combinator](https://www.ycombinator.com/companies/harper))

## Products & Services

- **Harper Hub**: Proprietary AI-native platform that automates form filling, carrier matching, and client communications, cutting weeks from the traditional quoting timeline.
- **Brokerage Services**: Comprehensive commercial insurance products including General Liability, Professional Liability (tech E&O with no AI exclusions), Cyber Insurance, Commercial Auto, Commercial Property, Umbrella, and Bonds – all placed through an AI-enhanced workflow.
- **Specialty Expertise**: Deep coverage for regulated industries such as FDA‑regulated labs, aerospace contractors, and security guard firms.

## Market Standing

- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of **$47 million** (confirmed on company website and Y Combinator profile; some third‑party sources list a lower figure but official sources indicate $47M)
- **Notable Investors**: Y Combinator (pre‑seed lead); other investors not publicly detailed
- **Growth Signals**: Writing over **$6 million in annualized premiums** across 35 states (as of early 2025); **6,000+ clients** with **98.78% client retention**; headcount of 39 employees growing **353% year‑over‑year**; **19 open positions**; 100% success placing tech E&O without AI exclusions.

## Competitive Advantages

- **AI‑native infrastructure**: Proprietary technology automates quoting, binding, and service, enabling faster turnaround and lower overhead compared to traditional brokers.
- **Deep niche expertise**: Focus on complex, regulated industries (tech, life sciences, aerospace) where incumbents often struggle.
- **High retention**: 98.78% client retention rate and proven ability to place hard‑to‑cover policies (e.g., tech E&O with AI exclusions) signal strong customer trust.
- **Data‑driven underwriting**: Real‑time analysis of prior interactions and quote intelligence to match businesses with the best carrier.

## Strategic Focus

- Scaling the AI‑native brokerage to serve the mid‑market today and eventually all businesses (commercial insurance commissions represent a $100B+ market).
- Aggressively hiring across engineering, sales, operations, and partnerships to support rapid growth.
- Expanding carrier partnerships and geographic reach (currently licensed in 35 states).

## Why Work Here

- **Early‑stage impact**: Join a Y Combinator‑backed startup at its inflection point, building the AI‑native future of insurance.
- **High‑leverage roles**: Engineers and GTM professionals work directly on systems (LLMs, automation) that drive measurable business outcomes.
- **Culture**: "Human expertise amplified by AI" – domain knowledge meets cutting‑edge technology; teammates from Goldman Sachs, Coinbase, and other top firms.
- **Work environment**: San Francisco headquarters with both in‑office and remote roles available depending on the position.
- **Compensation**: Competitive startup salaries (e.g., $160K–$230K for engineering roles per job listings).
- **Career growth**: Fast‑growing company (353% headcount growth) with opportunities to shape processes and take on ownership early.

## Sources

1. [harperinsure.com](https://harperinsure.com/) – Company website (home page)
2. [jobs.ashbyhq.com/harperinsure](https://jobs.ashbyhq.com/harperinsure) – Careers page
3. [ycombinator.com/companies/harper](https://www.ycombinator.com/companies/harper) – Y Combinator company profile
4. [linkedin.com/company/harperinsure](https://www.linkedin.com/company/harperinsure) – LinkedIn company page
5. [builtin.com/company/harper-harperinsurecom](https://builtin.com/company/harper-harperinsurecom) – Built In company profile

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