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Salary: USD 180,000 - 221,000 / annual
Join Airbnb's Community Blueprint & Quality team as a Staff Advanced Analytics leader. This role sits at the center of how Airbnb understands and improves the customer experience across its global marketplace of 5+ million hosts and 2+ billion guest arrivals.
You will deliver high-impact analysis, experimentation, and reporting that drives how the business diagnoses and improves the guest and host experience. This is a hands-on, execution-focused role designed to accelerate progress during a period of constrained capacity. You will operate independently, partner closely with cross-functional stakeholders (Product, Engineering, Operations, Finance, Data Science, Data Engineering), and own end-to-end work from problem framing to leadership-ready recommendations.
Key responsibilities include:
- Conduct strategic deep dives into customer experience drivers (cleanliness, check-in, communication, etc.) to identify symptoms, diagnose root causes, and recommend interventions
- Design, execute, and analyze experiments (A/B tests and quasi-experiments) to measure the impact of quality and blueprint initiatives
- Build and apply causal inference frameworks (diff-in-diff, synthetic controls, propensity matching) to estimate the true impact of product, policy, and operational changes
- Leverage LLMs and AI-assisted analytics to extract structured insights from unstructured data and scale root-cause taxonomy generation across millions of trips
- Develop and validate metrics and dimensions that monitor customer experience health and surface emerging quality issues
- Build and maintain analytical artifacts (queries, dashboards, readouts) that let stakeholders self-serve on standard questions
- Translate complex analyses into clear, concise insights and recommendations for senior leadership
Requirements:
- 10+ years of experience in advanced analytics, data science, or applied quantitative analysis (industry experience required)
- Strong hands-on expertise in SQL and at least one programming language (Python or R)
- Proven experience designing and analyzing A/B experiments and applying statistical methods to real-world product problems
- Experience with causal inference techniques (diff-in-diff, synthetic controls, propensity scoring) and a track record of applying them to ambiguous business problems
- Hands-on experience with AI-assisted analytics workflows (Claude, ChatGPT, internal LLM agents) including prompt engineering, structured extraction from unstructured text, and using LLMs as classifiers or judges
- Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines
- Strong analytical judgment, ability to balance rigor with speed and clearly communicate tradeoffs
- Excellent communication skills with experience presenting to senior, non-technical audiences
- Demonstrated ability to operate independently, manage multiple priorities, and deliver against agreed timelines
- Experience in marketplace, product analytics, customer experience, or trust & safety contexts strongly preferred
