Airbnb

Airbnb

Posted via Greenhouse

Staff, Advanced Analytics, Incubations

Posted Aug 11, 2026

Role at a glance

Salary
$180K – $221K/yr
Location
United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years in analytics, data science, or a similarly quantitative role

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Role Summary

AI-generated

The Staff, Advanced Analytics role owns analytics strategy for Airbnb’s Long-Term Stay & Luxe businesses, partnering with product and business leadership in a high-growth marketplace environment. The role develops models, experimentation approaches, and reporting that guide prioritization, investment, and business decisions.

What You'll Do

  • Own the end-to-end analytics strategy and roadmap for Long-Term Stay & Luxe.
  • Build and evolve quantitative models for supply-demand balance, marketplace liquidity, pricing, take-rate, LTV, and forecasting.
  • Design and analyze experiments across pricing, search and ranking, host onboarding, and guest conversion.
  • Develop causal-inference approaches, including holdouts, proxy metrics, and quasi-experimental methods.
  • Partner with product, GM, and cross-functional leaders to surface insights and shape what the team builds, tests, and invests in.
  • Build scalable, self-serve reporting and OKR tracking for leadership visibility.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

8+ years in analytics, data science, or a similarly quantitative role; experience building quantitative models and data pipelines; experience designing and interpreting A/B experiments; strong communication and strategic partnership skills.

Required

  • 8+ years in analytics, data science, or a similarly quantitative role
  • Track record of operating as a proactive strategic partner to senior product and business leaders
  • Excellent communicator who can flex between technical depth and clear, senior-stakeholder storytelling
  • Demonstrated ability to build and ship quantitative models, including supply/demand, pricing, matching, LTV, and forecasting models
  • Ability to construct underlying logic and data pipelines
  • Experience designing and interpreting A/B experiments
  • Comfort with causal-inference methods when traditional testing isn't feasible

Preferred

  • Experience with supply/demand modeling or geo-based analytics in a marketplace setting
  • Exposure to growth marketing analytics, including SEM, paid social, and performance channels
  • Awareness of emerging AI/LLM-driven discovery and search trends
  • Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling, attribution, and campaign...

Original job description

Content provided by the employer

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.  

Pay Range
$180,000$221,000 USD
Airbnb

About the company

Airbnb

Large Enterprise

Airbnb is a leading online marketplace that connects travelers with hosts offering unique accommodations around the world. Founded in 2008, the platform has revolutionized the hospitality industry by enabling homeowners to rent out their spaces, ranging from spare rooms to entire homes, to guests seeking a more personalized and local travel experience. With a commitment to community and diversity, Airbnb provides an extensive array of listings while maintaining a focus on safety and trust for both hosts and guests. The company also offers various experiences and services, enhancing the overall travel journey for users across the globe.