Data Analyst

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