Airbnb Staff Advanced Analytics Product 

United States 

282118589

A Typical Day:

• Be the Advanced Analytics owner and expert of cancellations and refund datasets. 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.

Your Expertise:

• 10+ 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).
• Deep expertise in comprehensive global and granular geocentric data sources, particularly for travel, accommodation, housing regulation, and economics
• Strong expertise in at least one programming language (Python or R) and SQL.
• Experience in analysis of A|B experiments and statistical data analysis.
• Experience designing and building metrics, from conception to building prototypes with data pipelines.
• Prior experience in advanced analytics or business data science within a marketplace or business strategy setting highly desirable
• 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 independently.
• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact

Offices: United States