Lead Analyst, Advanced Analytics

Summary

Join Airbnb as a Lead, Advanced Analytics, New Business and support the company's new business ventures. This pivotal role involves in-depth data analysis, metric definition, and collaboration with various teams to drive strategic decisions. You will analyze supply and demand, define key metrics, build dashboards, conduct A/B tests, and provide data-driven insights. The ideal candidate possesses 6+ years of experience in advanced analytics, a strong quantitative background, and exceptional communication and stakeholder management skills. This US-based remote eligible position offers a competitive salary and benefits package, including bonus, equity, and employee travel credits.

Requirements

• 6+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
• Prior experience in advanced analytics or business data science within a marketplace or business strategy setting
• Deep understanding of econometric and statistical analysis, and experience in 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

Responsibilities

• Conduct advanced data analysis to extract actionable insights that inform strategic decisions across key geographical markets
• Collaborate closely with the new business teams, providing data-driven insights to support strategic decisions
• Analyze broad data to understand the key drivers of bookings, attach rate, revenue, profitability, occupancy, rebooking rate, churn, and other key metrics
• Define new metrics and identify leading indicators of key business outcomes
• Build dashboards to track key performance metrics across markets and customer segments to establish benchmarks
• 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

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits