Staff, Advanced Analytics, Product

Airbnb

1d•Remote

About The Position

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 leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we build new products and integrate AI into the user experience, we are on the lookout for driven and innovative individuals to help shape our growth trajectory. The Difference You Will Make: Airbnb is seeking a Staff, Advanced Analytics to support our product team. This individual will act as a senior thought partner, supporting strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving product decisions to optimize for the company's objectives and ensure optimal experiences for guests and hosts. A Typical Day: Be the Advanced Analytics owner and expert of the search and discovery experience Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Leverage AI in thoughtful ways to turbocharge the customer experience and data analysis 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.

Requirements

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).
Experience with search and discovery product features and development
Experience with leveraging AI for user-facing features and internal analysis
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.
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

Nice To Haves

Prior experience in advanced analytics or business data science within a marketplace or business strategy setting highly desirable

Responsibilities

Be the Advanced Analytics owner and expert of the search and discovery experience
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Leverage AI in thoughtful ways to turbocharge the customer experience and data analysis
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.