Lead, Advanced Analytics, Acquisition

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb, a global leader in the travel and hospitality industry, is dedicated to creating a world where anyone can belong anywhere. With our unique accommodations and experiences, we connect travelers with local hosts across the globe. As we continue to innovate and grow, we're looking for dynamic individuals to join our team and help shape our trajectory. The Difference You Will Make: - Airbnb is seeking a Lead, Advanced Analytics, Acquisition to support the acquisition of new Hosts and drive the growth of the business. - The individual in this role will focus on in-depth data analysis, metric definition, benchmark creation, experimentation, and synthesis to high-level insights for prioritization. A Typical Day: - Conduct advanced data analysis to extract actionable insights that inform strategic decisions - Collaborate closely with business teams, providing data-driven insights to support strategic decisions - Define new metrics and identify leading indicators of key business outcomes - Build dashboards to track key performance metrics across markets and customer segments to establish benchmarks - Conduct A/B tests to improve business performance and maximize incrementality - Collaborate with cross-functional teams, including Strategic Finance, Data and Analytical Engineering, and Data Science, to align strategies and leverage synergies Your Expertise: - 8+ 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). - Prior experience in advanced analytics or business data science within a marketplace or business strategy setting. - Deep understanding of econometric and statistical analysis, and experience in applying these skills to derive insights from broad data sets. - Strong expertise in at least one programming language (Python or R) and SQL. - Experience with AI-assisted analytics (Claude, ChatGPT, etc). - Exceptional business acumen, strategic thinking skills, and the ability to make informed judgments. - Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner. - 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. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $164,000—$191,000 USD

8+ 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). Prior experience in advanced analytics or business data science within a marketplace or business strategy setting. Deep understanding of econometric and statistical analysis, and experience in applying these skills to derive insights from broad data sets. Strong expertise in at least one programming language (Python or R) and SQL. Experience with AI-assisted analytics (Claude, ChatGPT, etc). Exceptional business acumen, strategic thinking skills, and the ability to make informed judgments. Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner. 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.

Conduct advanced data analysis to extract actionable insights that inform strategic decisions. Collaborate closely with business teams, providing data-driven insights to support strategic decisions. Define new metrics and identify leading indicators of key business outcomes. Build dashboards to track key performance metrics across markets and customer segments to establish benchmarks. Conduct A/B tests to improve business performance and maximize incrementality. Collaborate with cross-functional teams, including Strategic Finance, Data and Analytical Engineering, and Data Science, to align strategies and leverage synergies.