Get an Airbnb for every kind of trip → 8 million vacation rentals → 2 million Guest Favorites → 220+ countries and regions worldwide. Backed by General Catalyst, Greylock and Kleiner Perkins.
About the role
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
What they're looking for
- 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
- 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
More about this role
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.
Airbnb is seeking a Lead, Advanced Analytics, to support our Host Product teams. This individual will play a pivotal role in 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 across the host product surfaces and funnels.
- 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, Marketing, Operations, Data...
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