Note: The job is a remote job and is open to candidates in USA. Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. The Global Markets & Policy Advanced Analytics team is looking for a Staff member to develop and lead initiatives focused on international growth strategy and product experience, partnering with various teams to ensure data-driven decision-making and measurable impact on core business metrics.
Responsibilities
- Design, execute, and analyze experiments to measure feature impact and guide product iterations; leverage causal methods when traditional randomized trials aren't available
- Design and build self-service analytics tools and dashboards that enable product and business teams to monitor performance, deploy the right growth levers, and act without waiting on centralized analytics cycles
- Partner with international product and regional GMs to translate local business questions into structured analytical frameworks with actionable insights
- Develop and maintain measurement infrastructure for local incentive programs, including campaign performance tracking, incrementality testing, and data-driven targeting methods
- 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
Skills
- 8+ years of experience in product data science or analytics, 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, pipelines, or decision-support apps—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—we measure success by the decisions our work influences, not the analyses we 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
- 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
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
Company Overview