Lead, Advanced Analytics, Product

Airbnb Airbnb · Consumer · United States · Analytics

Lead, Advanced Analytics, Product role at Airbnb focusing on strategic business and product initiatives through data analysis, experimentation, statistical modeling, and reporting. The role partners with the head of Product for Marketplace and works on areas like pricing, availability, and competitive intelligence. Requires strong technical expertise in data science, product analytics, experimentation, causal inference, and familiarity with LLMs.

What you'd actually do

  1. Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions.
  2. Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
  3. Design and build metrics / dimensions to monitor product and business performance.
  4. Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
  5. Work cross-functionally with Strategic Finance, Data and Analytical Engineering,and Data Science teams to ensure alignment and leverage synergies.

Skills

Required

  • quantitative undergraduate degree
  • 8+ years of industry experience in a Data Science, Analytics, or equivalent role
  • prior experience in data science, product analytics within a marketplace and pricing / monetization products
  • Deep technical expertise in data analysis, experimentation, causal inference
  • familiarity with LLMs
  • Robust business acumen
  • strategic thinking skills
  • ability to make informed judgments
  • Outstanding communication skills
  • Exceptional stakeholder management skills
  • proven ability to collaborate and influence across functions
  • An agile, growth-minded approach

Nice to have

  • MBA or equivalent advanced degree

What the JD emphasized

  • prior experience in data science, product analytics within a marketplace and pricing / monetization products
  • Deep technical expertise in data analysis, experimentation, causal inference, and familiarity with LLMs