Staff Advanced Analytics, Community Blueprint & Quality

airbnb, Inc.; Northern (KY); Hybrid; USD 180,000 - 221,000; Full time

Benefits offered by this job

Equity

Employee Travel Credits

Bonus eligibility

Job summary

Airbnb is seeking a Staff Advanced Analytics leader for the Community Blueprint & Quality team in the United States. You will own end‑to‑end analytical work from problem framing to leadership‑ready recommendations, influencing product, policy, and operational decisions at scale.

You will guide cross‑functional teams, design rigorous experiments, and apply causal inference to diagnose guest and host experience issues, using LLMs to scale insights and structured extraction from unstructured data.

Qualifications

• 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.

Responsibilities

• Conduct strategic deep dives into customer experience drivers to identify symptoms, diagnose root causes, and recommend interventions.
• Design, execute, and analyze experiments (A/B tests and quasi-experiments) to measure impact of quality initiatives.
• Build and apply causal inference frameworks to estimate true impact of product, policy, and operational changes.
• Leverage LLMs and AI‑assisted analytics to extract insights from unstructured data and scale root‑cause taxonomy generation.
• Develop and validate metrics and dimensions that monitor customer experience health and surface emerging quality issues.
• Build and maintain analytical artifacts (queries, dashboards, readouts) for stakeholder self‑service.

Skills

SQL

Python

R

A/B testing

Causal inference

AI-assisted analytics

Data pipelines

Communication

Independent working

Industry experience

Tools

Claude

ChatGPT

LLM agents

Job description

Staff Advanced Analytics, Community Blueprint & Quality

United States

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 operate independently, manage multiple priorities, and deliver against agreed timelines.
• Experience in marketplace, product analytics, customer experience, or trust & safety contexts strongly preferred.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively‑led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [e-mail] . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$180,000 — $221,000 USD

Reasonable Accommodations:

We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.