The opportunity
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…
What you'll do
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 to 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.
What they're looking for
- Partner with Product, Engineering, Data Science, Data Engineering, and other: Advanced Analytics teams to align on methodology, assumptions, and interpretation.
- Translate complex analyses into clear, concise insights and recommendations for senior leadership.
- + 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).
