Lead, Advanced Analytics, Hosting Services (Brazil)

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

Airbnb, a global leader in the travel and hospitality industry, is dedicated to creating a world where anyone can belong anywhere. With our unique accommodations and experiences, we connect travelers with local hosts across the globe. As we continue to innovate and grow, we're looking for dynamic individuals to join our team and help shape our trajectory.

The Difference You Will Make

Airbnb is seeking a Lead, Advanced Analytics, Hosting Services to support the growth of Airbnb's initiatives in the Hosting Services space, including the Co-Host Network, Host Referrals program, and Superhost Ambassadors program. This role is pivotal in analyzing the success of these supply programs across countries and host segments to better understand the drivers of key business, financial, and engagement metrics. The individual in this role will focus on in-depth data analysis, statistical modeling, metric definition, impact assessment, experimentation, and synthesis of insights to inform prioritization.

A Typical Day

• Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions across key geographical markets and host segments.

• Manage stakeholder relationships across the homes supply team, ensuring clarity of communication and strategic alignment on analytics initiatives.

• Analyze broad data to understand the drivers of new listing supply, availability, revenue, churn and other key metrics related to host needs and engagement.

• Define new metrics and identify leading indicators of key business outcomes.

• Build dashboards and data pipelines to track key performance metrics across markets and host segments to establish benchmarks.

• Develop and support agentic workflows and AI-assisted tools to automate recurring data analysis and reporting tasks, improving the speed and scale of insights delivery and enabling self-serve access to data across the homes supply team.

• Conduct A/B tests to improve business performance and maximize incrementality.

• Collaborate with cross-functional teams, including Strategic Finance, Data and Analytical Engineering, and Data Science, to align strategies and leverage synergies.

Your Expertise

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