Lead, Advanced Analytics, Hosting Services
Leads advanced analytics for Airbnb’s Hosting Services programs, using statistical modeling, experimentation, causal inference, and business insight generation across markets and host segments. Requires a quantitative bachelor’s degree and 8+ years of analytics or data science experience.
About the job
Responsibilities
- Conduct advanced data analysis and statistical modeling to extract actionable insights across geographical markets and host segments.
- Manage stakeholder relationships across the homes supply team and ensure strategic alignment on analytics initiatives.
- Analyze data to understand drivers of new listing supply, availability, revenue, churn, and host engagement.
- Define metrics and identify leading indicators of key business outcomes.
- Build dashboards and data pipelines to track performance metrics across markets and host segments.
- Develop and support agentic workflows and AI-assisted tools to automate recurring data analysis and reporting.
- Conduct A/B tests to improve business performance and maximize incrementality.
- Collaborate with Strategic Finance, Data and Analytical Engineering, and Data Science teams.
Requirements
- Quantitative undergraduate degree.
- 8+ years of industry experience in data science, analytics, or an equivalent role.
- Experience in advanced analytics or business data science within a marketplace or business strategy setting.
- Expertise in data analysis, statistical modeling, experimentation, and causal inference.
- Familiarity with large language models (LLMs).
- Strong business acumen, strategic thinking, communication, stakeholder management, and cross-functional collaboration skills.
- Demonstrated ability to drive projects from ideation through impact.
Preferred Qualifications
- MBA or equivalent advanced degree.
Compensation and Benefits
- Mexico monthly pay range: $100,000–$125,000 MXN.
- May also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Skills
Data Analysis, Statistical Modeling, A/B Testing, Causal Inference, Data Science, Data Pipelines, Dashboards, LLMs, Experimentation, Metric Definition
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