# Data Analyst

**Company:** [Harper](https://hotfix.jobs/companies/harper)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $140k – $180k/yr
**Experience:** 4+ years
**Skills:** SQL, Python, Funnel Analysis, Cohort Analysis, Attribution Modeling, Ltv/Cac Modeling, Paid Acquisition Analysis, Google Ads, Meta Ads, Posthog, Mixpanel, Amplitude
**Posted:** 2026-06-22

> Growth-oriented data analyst embedded with marketing to synthesize channel performance, own KPI reporting, and drive real-time budget and experiment decisions from messy data.

## Job Description

## 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.

## 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

## 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

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