Lead, Advanced Analytics, Product

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 leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory. The Difference You Will Make: Airbnb is seeking a Lead, Advanced Analytics, Product. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving product decisions across topic areas such as pricing and calendar availability, and competitive intelligence. The role would partner directly with the head of Product for Marketplace. 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. Your Expertise: - A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 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, 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. 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 $157,000—$191,000 USD

A quantitative undergraduate degree with a strong preference for MBA or equivalent advanced degree, with 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, and familiarity with LLMs. Robust business acumen, strategic thinking skills, and 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.

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.