Manager, Product Analytics

What you'll do

• Lead and develop a team of about 5 analysts embedded with Pricing, Supply and Content.
• Own the experimentation program and use causal methods when standard A/B tests are insufficient.
• Analyze pricing and marketplace dynamics, evaluate pricing models, and partner with product and business leaders on decisions.

What they ask for

• 7+ years in product analytics, product data science, or a closely related role embedded with product and engineering teams.
• 3+ years managing and developing analysts or data scientists, including hiring and retaining talent.
• Deep experience designing, running, and interpreting A/B tests at scale, with working knowledge of causal inference methods.
• Strong statistical foundations; expert SQL; proficiency in Python or R; and comfort evaluating predictive or pricing models.

Nice to have

• Experience with pricing, revenue management, marketplaces, supply, inventory, or other two-sided businesses.
• Experience with demand forecasting, price elasticity, optimization, B2B experimentation, or building analytics functions.

Pay

$144,500 — $200,000 USD (base salary)

Tools

SQL, Python, R, Snowflake, dbt, Looker, Hex

AI focus

Model an AI-forward way of working and build team habits for using AI tools, including verifying their outputs.