
Airbnb · Posted 3w ago
Staff Advanced Analytics (Community Blueprint & Quality)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 United States
- Contract
- Full-time
- Role
- Analytics & BI
- Source
- Stapply Data
Stack
- LLM
- SQL
- Python
- R
The posting
Join our team as a Staff Advanced Analytics leader on the Community Blueprint Quality team. In this hands-on role, you will conduct high-impact analysis, experimentation, and reporting to improve the guest and host experience. You will operate independently, partner closely with cross-functional stakeholders, and own end-to-end work from problem framing to leadership-ready recommendations. Your responsibilities will include conducting strategic deep dives into customer experience drivers, designing and analyzing experiments, building causal inference frameworks, and developing metrics to monitor customer experience health. You will also build and maintain analytical artifacts, partner with various teams, and translate complex analyses into clear insights for senior leadership.
- Act as a senior analytics leader on the Community Blueprint Quality team, delivering high-impact analysis, experimentation, and reporting. - Conduct strategic deep dives into customer experience drivers, design and analyze experiments, and build causal inference frameworks. - Partner with cross-functional stakeholders to align on methodology, assumptions, and interpretation, and translate complex analyses into clear insights.
- Strong hands-on expertise in SQL and at least one programming language (Python or R) - 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 - Experience in marketplace, product analytics, customer experience, or trust & safety contexts strongly preferred - 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 - Strong analytical judgment, ability to balance rigor with speed and clearly communicate tradeoffs - Demonstrated ability to operate independently, manage multiple priorities, and deliver against agreed timelines - Excellent communication skills with experience presenting to senior, non-technical audiences - 10+ years of experience in advanced analytics, data science, or applied quantitative analysis (industry experience required)