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. Long-Term Stay & Luxe is being built with 0-to-1 intensity inside a marketplace that already moves at massive scale, and this team needs people who can operate like founders while still respecting the rigor of a mature, two-sided marketplace.
The Difference You Will Make:
Airbnb is seeking a Staff, Advanced Analytics to be the analytics owner and strategic partner for Long-Term Stay & Luxe — setting the agenda for what gets measured and tested, building the quantitative models that underpin how the business grows, and operating as a peer to product and business leadership.
A Typical Day:
- Own the end-to-end analytics strategy and roadmap for Long-Term Stay & Luxe — decide what to measure, what to test, and where the biggest leverage is. Prioritization decisions should exist because of your recommendations.
- Build and evolve the quantitative models that run the business: supply-demand balance, marketplace liquidity, pricing and take-rate models, and LTV/forecasting — going beyond dashboards to build the underlying data models and pipelines.
- Design and analyze experiments across pricing, search and ranking, host onboarding, and guest conversion. Develop causal-inference approaches (holdouts, proxy metrics, quasi-experimental methods) for the many cases where a clean randomized trial isn't possible given lower volumes or longer booking cycles.
- Act as a proactive strategic partner to product, GM, and cross-functional leaders — surface insights and recommendations ahead of the task, and directly shape what the team builds, tests, and invests in next.
- Build scalable, self-serve reporting and OKR tracking that gives leadership real-time visibility into two fast-moving, still-forming businesses.
- Move fast and stay effective in high-ambiguity, high-intensity conditions — the business model, metrics, and priorities will keep evolving, and you should find that energizing rather than draining.
Your Expertise:
- 8+ years in analytics, data science, or a similarly quantitative role, ideally including time inside a marketplace business (e.g., Zillow, Airbnb, Uber, DoorDash, Etsy) and/or experience incubating a business from 0 to 1.
- A track record of operating as a proactive strategic partner to senior product and business leaders: someone who shows up with a point of view, not just an answer to the last question asked. Excellent communicator who can flex between technical depth and clear, senior-stakeholder storytelling.
- Genuine passion for the work and a high tolerance for intensity — comfortable with ambiguity, shifting priorities, and the pace of a business that's still being built.
- Demonstrated ability to build and ship quantitative models — supply/demand, pricing, matching, LTV, forecasting — not just analyze results, but construct the underlying logic and data pipelines yourself.
- Experience designing and interpreting A/B experiments, plus comfort with causal-inference methods when traditional testing isn't feasible.
Preferred Experience:
- Experience with supply/demand modeling or geo-based analytics in a marketplace setting
- Exposure to growth marketing analytics (SEM, paid social, performance channels)
- Awareness of emerging AI/LLM-driven discovery and search trends and their implications for organic traffic and demand generation strategy
- Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM), attribution, and campaign performance frameworks
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.
Skills Required
- 7+ years of experience in data science or analytics
- Expert-level SQL skills
- Proficiency in Python or R for data manipulation
- Strong experimentation background with A/B testing
- Experience building self-service data products and tools
- Experience supporting international business contexts
- Ability to translate analytical findings into narratives for senior audiences
- Comfort working with modern data stack tooling
Airbnb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.
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Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
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Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
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Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.
Airbnb Insights
What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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