Own our analytics infrastructure end-to-end — from data pipelines and dashboards to ad hoc deep dives.
Build and maintain the metrics that guide how we operate: retention, churn, activation, engagement, LTV, and everything in between.
Identify the patterns in our data that aren't obvious — and turn them into recommendations leadership can act on within days, not quarters.
Partner directly with founders and execs on growth experiments, pricing analysis, and product decisions.
Monitor subscription and cancellation trends, surface root causes, and help the team prioritize the highest-leverage fixes.
Document your work so others can move fast.

Requirements

Live and work in the U.S. and communicate clearly in English.
Have strong quantitative fundamentals and both an academic and intuitive understanding of math and statistics.
Can do this job without leaning on AI to think for you. We want the analyst, not the prompt.
Fluent with AI tools that have allowed you to 10x compared to pre-AI.
Have 5+ years of hands-on analytics experience — ideally at a consumer company.
Write SQL the way other people write English — fluently and without thinking about it.
Are comfortable working in a fast-paced startup where the playbook is still being written.
Can manage your own priorities, break down ambiguous problems, and deliver without being asked twice.
Can use your own dashboards and reporting to give recommendations and drive next steps.
Are not submitting an AI resume. (If you are human, please say so in your application.)
Have experience with subscription businesses and understand the mechanics of churn, cohort retention, and LTV modeling.
Are comfortable with HIPAA-adjacent data and understand what responsible handling looks like in practice.
Have experience with tools like Claude Code, Cursor, Snowflake, Sigma, Posthog, or similar — and can set up what we don't yet have.
Are comfortable coding in python or other programming languages.
Have worked directly with founders or executives and know how to communicate findings without burying the lede.
Know when a chart is the right answer and when a single sentence is better.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata analysismetrics developmentchurn modelingcohort retentionLTV modelingquantitative analysisstatisticsdata visualization

Soft Skills

communicationproblem-solvingprioritizationindependenceadaptabilitycollaborationcritical thinkingtime managementattention to detailleadership