Staff, Advanced Analytics, Global Markets and Policy

at Airbnb

📍 United States

USD 180,000-221,000 per year

MIDDLE

✅ Remote ✅ Hybrid

Tech Stack
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.

A/B Testing @ 6 AI @ 1 Airflow @ 2 BI Data Engineering @ 3 Data Science @ 6 E-commerce @ 6 Experimentation @ 6 LLM @ 1 Looker @ 2 Marketing @ 3 Python @ 5 R @ 5 Reporting @ 3 SEM @ 3 SQL @ 3 Tableau @ 2 dbt @ 2

Details

Airbnb was born in 2007 in San Francisco and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals worldwide. The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth. This is a greenfield opportunity to shape how global teams make nimbler decisions and move from HQ-dependent reporting cycles to fast, local, data-driven action.

Responsibilities

Partner directly with Global Markets regional teams, Finance, and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics.
Design and build self-service analytics tools and dashboards enabling country teams to monitor performance, deploy local marketing levers, and act without relying on centralized analytics cycles.
Translate local business questions into structured analytical frameworks and actionable insights in partnership with country GMs and regional leads.
Develop and maintain measurement infrastructure for local marketing programs, including campaign performance tracking, incrementality testing, and contribution to marketing mix models (MMM).
Identify and size new growth opportunities across international markets using internal behavioral data, supply/demand signals, and external market data.
Collaborate with Product, Engineering, Marketing, Research, and Data Engineering to scope and deliver data and tooling needs into roadmaps.
Contribute analytical foundations for building local growth levers (incentives, promotions, merchandising, affiliate programs) for targeting, measurement, and iteration.

Requirements

7+ years of experience in data science, analytics, or business intelligence, ideally within a marketplace, e-commerce, or global consumer technology environment.
Expert-level SQL skills.
Proficiency in Python or R for data manipulation, modeling, and analysis.
Industry experience applying AI technologies for business growth and workflow acceleration; familiarity with AI/LLM-driven discovery/search trends is a plus.
Strong experimentation background: fluent in A/B testing, causal inference methods, and incrementality measurement; able to design and interpret experiments independently.
Demonstrated experience building self-service data products and tools (dashboards, automated pipelines, decision-support applications) used by non-technical stakeholders.
Experience working in or supporting international / multi-market business contexts and comfort with cross-cultural data nuances.
Exceptional ability to translate complex analytical findings into clear narratives for senior business audiences.
Proven track record of operating autonomously in fast-moving, ambiguous environments and delivering high-quality work across multiple priorities.
Collaborative, low-ego working style; success measured by decisions your work influences.
Familiarity with modern data stack tooling (e.g., dbt, Airflow, Tableau, Looker) and experience working closely with Data Engineering to productionize analytical work.

Preferred Experience

Supply/demand modeling or geo-based analytics in a marketplace setting.
Exposure to growth marketing analytics (SEM, paid social, performance channels).
Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM) and attribution.

Location

US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites. Candidates must live in a state where Airbnb, Inc. has a registered entity (see Airbnb careers page for excluded states).

Inclusion & Accessibility

Airbnb is committed to inclusion and encourages diverse applicants. Candidates with disabilities who require reasonable accommodation during application or interview can contact [email protected] with their name, role, and accommodation needed.