Staff Advanced Analyst, Guest Engagement

at Airbnb

📍 United States

USD 180,000-221,000 per year

SENIOR

✅ Remote ✅ Hybrid

Used Tools & Technologies

Machine Learning

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Marketing @ 4 Data Science @ 4 Communication @ 6 Prioritization @ 6 Experimentation @ 4 Reporting @ 4

Details

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.

The Community You Will Join

The Guest Engagement AA sits within Marketing Analytics and serves as the analytical backbone for Airbnb's lifecycle marketing programs — the email, push, and in-app communications that reach hundreds of millions of guests across their entire journey. You'll partner closely with Guest Engagement Marketing, MarTech Data Science, and Strategic Finance to drive measurable booking impact through experimentation and insights.

Responsibilities

Own the analytics roadmap for Guest Engagement — define what to measure, what to test, and where the biggest opportunities lie across the full guest lifecycle (abandon journeys, demand generation, onboarding, upsell, and more).
Design and analyze experiments at scale across abandon journeys, demand gen ML model rollouts, and placement-level A/B tests.
Develop measurement frameworks (holdouts, proxy metrics, annualized impact models) to accurately attribute cumulative program impact.
Surface proactive insights beyond reporting — user segmentation, funnel analysis, fatigue signals, channel optimization — and translate them into strategic recommendations for Director-level marketing leaders.
Build scalable, self-serve reporting (dashboards, OKR tracking, experiment trackers) that empowers partners and frees AA capacity for higher-leverage work.
Collaborate cross-functionally with MarTech Data Science on ML model feedback loops and attribution, with SF&A on goal methodology, and with India-based analytics resources on operational reporting.

Requirements

9+ years in analytics or data science, with depth in marketing and/or growth analytics.
Strong experimentation skills: experience designing and interpreting A/B tests and measurement frameworks for multi-channel marketing programs.
Experience developing measurement frameworks such as holdouts, proxy metrics, and annualized impact models.
Ability to surface proactive insights (segmentation, funnel analysis, fatigue signals, channel optimization) and convert them into actions for senior stakeholders.
Excellent communication skills: able to distill complex findings into clear, compelling recommendations and influence Director-level roadmaps and prioritization.

Your Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager. You must live in a state where Airbnb, Inc. has a registered entity. Offices: United States.

How We'll Take Care of You

The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs and market demands. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$180,000—$221,000 USD