Staff, Advanced Analytics, Community Blueprint
Staff, Advanced Analytics, Community Blueprint
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
The Community You Will Join:
Airbnb is a global hospitality platform that connects travelers with unique accommodations and experiences around the world. Our mission is to create a world where anyone can belong anywhere. Community Blueprint is a team under Global Operations that aims to improve the quality of the end-to-end customer journey and bridge team silos across product operations and policy. To do this we need to be experts in the guest and Host experience and in how product operations and policies function together to deliver the Airbnb experience. As part of the Community Blueprint team your role will be instrumental in driving data-driven decision-making connecting data across product & operations and enhancing the guest and Host experience.
The Difference You Will Make:
We are seeking a highly experienced and skilled individual contributor Advanced Analytics professional with deep expertise in supporting strategic business initiatives through detailed data analysis experimentation statistical modeling forecasting and development of reporting tools and metrics. As Staff Advanced Analytics - Community Blueprint you will be responsible for leveraging data insights and advanced analytics techniques to define forecast and evaluate key metrics in an unstructured problem space and partnering with other data experts to understand impact and interaction of various key metrics. The ability to communicate a robust understanding of the key drivers - what moves these metrics and why - will be critical to success.
Community Blueprint is a highly cross-functional team which means you will collaborate with many different functions across all of Airbnb to drive strategic initiatives and inform decisions that will ultimately improve the guest and host experience. We are looking for a scrappy self-starter with an entrepreneurial mindset who thrives in ambiguity and can deeply understand the nuances of our rapidly evolving business and use data to explain key drivers.
A Typical Day:
- 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 Product Insights Analysts Data and Analytical Engineering Capacity Planning and other cross-functional teams to provide actionable insights.
- Develop and implement advanced forecasting models to not only predict key performance metrics but also understand the metrics actual performance.
- Design execute and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials arent 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 technical expertise in data and statistical analysis experimentation causal inference forecasting methods and familiarity with LLMs.
- Proficiency in programming languages such as Python or R for data analysis and modeling.
- Experience working with large datasets and SQL for data extraction and manipulation.
- Self-starter thrives in ambiguity and has an investigator mindset of wanting to get to the bottom of problems.
- Strong problem-solving and critical thinking abilities with a keen attention to detail.
- Excellent communication and presentation skills with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
- Exceptional stakeholder management skills with a proven ability to collaborate and influence across functions.
- An agile growth-minded approach demonstrated through a history of driving projects from ideation to impact.
- Robust business acumen strategic thinking skills and the ability to make informed judgments.
- Prior experience in the technology industry or a fast-paced data-driven environment is preferred.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites as agreed to with your manager. While the position is Remote Eligible you must live in a state where Airbnb Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement and allow us to attract creatively-led people and to develop the best products services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application please contact us at: . Please include your full name the role youre applying for and the accommodation necessary to assist you with the recruiting process.
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.
Employment Type
Full-Time
