Staff Advanced Analytics, Community Blueprint & Quality

Airbnb·United Statessenior

In short

→Analista avanzado que mejora la experiencia de huéspedes y anfitriones usando datos y experimentos
→Día a día: investiga problemas, diseña pruebas, aplica inferencia causal y usa IA para extraer insights
→Destacado: trabaja con LLMs para escalar análisis de texto no estructurado a millones de viajes

Ability to communicate clearly with stakeholders in English

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What they ask for

✓10+ años en análisis avanzado, ciencia de datos o análisis cuantitativo
✓Experto en SQL y Python o R
✓Experiencia comprobada en pruebas A/B y análisis estadístico
✓Habilidades en inferencia causal (diff-in-diff, controles sintéticos)
✓Experiencia con IA asistida (LLMs, ingeniería de prompts)
✓Capacidad para construir métricas desde cero y comunicar a líderes

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLPythonRA/B testingDiff-in-diffSynthetic controlsPropensity scoringLLMsClaudeChatGPT

Who should you write to at Airbnb?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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: The Quality & Blueprint team sits at the center of how Airbnb understands and improves the customer experience. We partner with Product, Engineering, Operations, and Finance to identify where the experience is breaking down, why it's breaking down, and what to do about it, so we can keep delighting the Airbnb community at scale. Our work informs strategy at the leadership level and decisions at the product squad level. The Difference You Will Make: This role will act as a senior analytics leader on the Community Blueprint Quality team. You'll 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, and own end-to-end work from problem framing to leadership-ready recommendations. A Typical Day: • 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. • 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. Your Expertise: • 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

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