Product Data Analyst

3-5 years of experience in product analytics, data analysis, or a quantitative role at a tech company (startup experience strongly preferred)

Strong statistical foundations: hypothesis testing, confidence intervals, Bayesian reasoning, power analysis, regression. Not textbook knowledge -- practical application.

Demonstrated ability to design and analyze A/B tests and other controlled experiments

Sharp product intuition -- you think about why users behave a certain way, not just how

Excellent written and verbal communication

Fluent in SQL. You'll be writing HogQL (ClickHouse-flavored SQL) against PostHog, so comfort with analytical SQL dialects is important.

Python proficiency (pandas, scipy, statsmodels) for ad hoc analysis beyond what a BI tool can do

Experience with PostHog or similar product analytics platforms (Amplitude, Mixpanel)

Experience at an early-stage startup where you had to build analytics from scratch

ML/data science specialization (we're not building recommender systems)

Data engineering / pipeline skills (this isn't a dbt or Airflow role)

A Master's degree (we care about what you can do, not your credentials)

Intro call (30 min) -- get to know each other, talk through your experience

Stats & analysis discussion ( ~1.5 hrs) -- assess your product analytics skills and stats fluency

Culture & product chat with CEO (30 min) -- alignment on mission, working style, product thinking