Lead, Advanced Analytics, Hosting Services

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• 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.

🎯 Requirements

• A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 8+ years of industry experience in a Data Science, Analytics, or equivalent role. • 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 LLMs, and experience applying these skills to derive insights from broad data sets. • Exceptional business acumen, strategic thinking skills, and the ability to make informed judgments. • Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner. • Proven stakeholder management skills, with the ability to collaborate and influence across functions. • An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

🏖️ Benefits

• Bonus • Equity • Benefits • Employee Travel Credits