H
Posted 9 hours ago
Data Analyst
HarperData Analyst
Perks & benefits
Mobile AllowanceHealth InsuranceCommissionVisaRelocation AllowancePaid Leave
Requirements
4+ years analytics experience, Strong SQL, Python proficiency preferred, Funnel and cohort analysis experience, LTV/CAC modeling, Paid acquisition analysis
Skills
SQLPythonData Analysis
About the role
About the Company
Harper is an AI-native commercial insurance company in San Francisco. We're rebuilding the entire business as software, turning expert human judgment into compute for a trillion-dollar industry.
Responsibilities
- Synthesize channel performance across paid, organic, and partner channels
- Partner with the Growth Marketing Lead to translate data into actionable recommendations
- Own growth KPI reporting, defining and maintaining core marketing and funnel metrics
- Build and maintain LTV/CAC analysis to provide a clear picture of unit economics
- Run experiment analysis for A/B tests and campaign experiments
- Proactively flag trends, anomalies, and opportunities in the data
Requirements
- 4+ years of analytics experience with direct exposure to marketing, growth, or revenue teams
- Strong SQL skills; 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 findings to non-technical stakeholders and drive decisions
- Ability to work on-site in San Francisco in a high-tempo environment
Preferred Qualifications
- Familiarity with PostHog, Mixpanel, or Amplitude
- Experience working alongside data or GTM engineers
- Background in insurance or fintech
- Exposure to AI-assisted analytics workflows and modern BI tooling
- Experience in a high-growth startup environment
Benefits
- Uber commuter benefits
- Meals provided (breakfast, lunch, and dinner)
- Daily snacks, drinks, and coffee
- Free gym membership
- Health, dental, and vision insurance
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Harper · San Francisco
