Lead, Advanced Analytics Product

Summary

Join Airbnb as a Lead, Advanced Analytics, supporting the Cancelations and Trip Quality teams. You will leverage data analysis, experimentation, and statistical modeling to drive product decisions. A typical day involves working with large datasets, collaborating with cross-functional teams, designing experiments, building reporting tools, and presenting findings to senior leadership. This role requires 6+ years of experience in a quantitative field and proven expertise in data analysis, experimental design, and programming. The position is US-Remote Eligible, with occasional office work possible. Compensation includes a competitive salary, bonus, equity, benefits, 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 an advanced analytics or product data science role
• Exceptional business acumen, strategic thinking skills, and the ability to conduct rigorous analysis and 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
• Experience partnering with product teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
• Experience in analysis of A|B experiments and statistical data analysis
• Experience designing and building metrics, from conception to building prototypes with data pipelines
• Strong expertise in at least one programming language (Python or R) and SQL
• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making
• Collaborate closely with Product, Engineering, Finance, Operations, Data Science, Advanced Analytics, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights
• Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available
• Design and build metrics / dimensions to monitor product and business performance
• Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions
• Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner
• Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques

Preferred Qualifications

Masters or PhD in a quantitative field

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits