Senior Product & PLG Analyst (Full-Stack Data Scientist)
Core
Own Product and PLG analytics end-to-end, defining metrics for the self-serve funnel (signup, activation, usage, conversion, expansion, retention) and uncovering drivers behind KPIs.
Role type
Senior Product & PLG Analyst (Full-Stack Data Scientist)
Builds
Data pipelines, predictive models (conversion propensity, churn risk, usage forecasting), and analytical frameworks for product and GTM workflows.
Domain
SaaS, Product-Led Growth (PLG), AI Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, dbt, statistical modeling, causal inference, A/B testing, predictive modeling, data pipeline construction, executive communication
Preferred skills
Product analytics platforms (PostHog, Amplitude, Mixpanel), pricing/packaging analysis, LLM/AI tooling, GitHub portfolio
Technologies
Snowflake, BigQuery, Airflow, Omni, Looker, Tableau
Responsibilities
Define and instrument the self-serve funnel; build data pipelines and deploy predictive models; design and evaluate experiments; partner with CEO on strategic pricing and growth decisions; set standards for metric definitions and analytical rigor.
Seniority
Senior, hands-on IC
