Airbnb Lead Advanced Analytics Marketplace 

United States 

380380429

A Typical Day:

• Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions.
• Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
• Design and build metrics / dimensions to monitor product and business performance.
• Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
• Work cross-functionally with Strategic Finance, Data and Analytical Engineering, and Data Science teams to ensure alignment and leverage synergies.
• Manage senior stakeholder relationships, ensuring clarity of communication and strategic alignment on analytics initiatives.
• Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing others.

Your Expertise:

• 6+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• 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
• Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
• Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
• Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.