Staff, Advanced Analytics, Global Markets and Policy

Airbnb

2d•Remote

About The Position

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 Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action. This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them. The Difference You Will Make: This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution. The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift. This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing. The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and be adept at leveraging AI technologies to accelerate and raise their craft. You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.

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
Strong experimentation background — you are fluent in A/B testing, causal inference methods, and incrementality measurement, and can design and interpret experiments independently
Demonstrated experience building self-service data products and tools — dashboards, automated pipelines, or decision-support applications — used by non-technical business stakeholders
Experience working in or supporting international / multi-market business contexts; comfort navigating cross-cultural data nuances and country-level analytical complexity
Exceptional ability to translate complex analytical findings into clear, compelling narratives for senior business audiences — you can make a country GM or a VP act on what you've built
Proven track record of operating with autonomy in fast-moving, ambiguous environments and delivering high-quality work across multiple concurrent priorities
Collaborative, low-ego working style with a strong orientation toward enabling the people around you — you measure success by the decisions your work influences, not the analyses you produce
Familiarity with modern data stack tooling (e.g., dbt, Airflow, Tableau, Looker, or equivalent) and comfort working closely with Data Engineering partners to productionize analytical work

Nice To Haves

Experience with supply/demand modeling or geo-based analytics in a marketplace setting
Exposure to growth marketing analytics (SEM, paid social, performance channels)
Awareness of emerging AI/LLM-driven discovery and search trends and their implications for organic traffic and demand generation strategy
Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM), attribution, and campaign performance frameworks

Responsibilities

Design and build self-service analytics tools and dashboards that enable country teams to monitor performance, deploy local marketing levers, and act without waiting on centralized analytics cycles
Partner with country GMs and regional leads to translate local business questions into structured analytical frameworks and actionable insights
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 a combination of internal behavioral data, supply/demand signals, and external market data
Collaborate with Product, Engineering, Marketing, and Research teams to ensure data and tooling needs are scoped into roadmaps and delivered on time
Contribute to the build-out of new local growth levers (incentives, promotions, merchandising, affiliate programs) by providing the analytical foundation for targeting, measurement, and iteration