Staff, Advanced Analytics, Incubations

Airbnb

2d•$180,000 - $221,000•Remote

About The Position

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. 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. 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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.