Lead Advanced Analytics (Guest Product)

Join Airbnb as a Lead in Advanced Analytics for the Guest App team. In this pivotal role, you will support strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. You will collaborate closely with various cross-functional teams, design and analyze experiments, build metrics to monitor performance, and present findings to stakeholders. The ideal candidate will have 6+ years of industry experience, strong programming skills, and excellent communication abilities.

• Collaborate with cross-functional teams to provide actionable insights and drive product and strategic decisions related to the Guest App.
• Design, execute, and analyze experiments to measure feature impact and guide product iterations, leveraging causal methods when necessary.
• Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions, and present findings to senior leadership.
• Experience with AI-assisted analytics (Claude, ChatGPT, etc)
• 6+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
• Strong expertise in at least one programming language (Python or R) and SQL
• Proven stakeholder management skills, with the ability to collaborate and influence across functions
• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact
• Experience partnering with product teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
• Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner
• Experience in analysis of A|B experiments and statistical data analysis
• Prior experience in an advanced analytics or product data science role
• Experience designing and building metrics, from conception to building prototypes with data pipelines
• Exceptional business acumen, strategic thinking skills, and the ability to conduct rigorous analysis and make informed judgments