Used Tools & Technologies
LLMRequired 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.
Data Science @ 4
Communication @ 4
Prioritization @ 4
Data Analysis @ 4
Experimentation @ 4
Reporting @ 4
AI @ 4
Data Pipelines @ 4
- 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.
Details
Airbnb is seeking a Lead, Advanced Analytics, Hosting Services to support growth of Hosting Services initiatives, including the Co-Host Network, Host Referrals program, and Superhost Ambassadors program. The role focuses on in-depth data analysis, statistical modeling, metric definition, impact assessment, experimentation, and synthesis of insights to inform prioritization across countries and host segments.
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 broad data to understand drivers of new listing supply, availability, revenue, churn, and other host engagement metrics.
- Define new metrics and identify leading indicators of key business outcomes.
- Build dashboards and data pipelines to track key performance metrics and establish benchmarks.
- Develop and support agentic workflows and AI-assisted tools to automate recurring analysis and reporting, enabling self-serve access to data.
- Design and run A/B tests to measure impact and maximize incrementality.
- Collaborate cross-functionally with Strategic Finance, Data and Analytical Engineering, and Data Science.
Requirements
- Quantitative undergraduate degree; strong preference for MBA or equivalent advanced degree.
- 8+ years of industry experience in Data Science, Analytics, or equivalent roles.
- Prior experience in advanced analytics or business data science within a marketplace or business strategy setting.
- Deep technical expertise in data analysis, statistical modeling, experimentation, and causal inference.
- Familiarity with large language models (LLMs) and experience applying analytical techniques to broad datasets.
- Exceptional business acumen, strategic thinking, and the ability to make informed judgments.
- Excellent communication and stakeholder management skills; ability to convey complex concepts clearly.
- Proven ability to drive projects from ideation to measurable impact.
Compensation & Additional Details
- Mexico Monthly Pay Range: $100,000—$125,000 MXN (base pay range; may be adjusted based on factors such as experience).
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
- Offices: Brazil, Mexico