Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Agile @ 6
ChatGPT @ 4
Communication @ 6
Customer Acquisition @ 1
Data Analysis @ 4
Data Pipelines @ 4
Data Science @ 8
Experimentation
Marketing
Mathematics @ 8
Python @ 7
R @ 7
SQL @ 7
Statistics @ 8
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Airbnb is seeking a Staff Advanced Analytics professional to support the Guest App team. This role acts as a senior thought partner for strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The position will help drive product decisions for the Guest App, particularly for strategically important Promotional Merchandising initiatives.
Responsibilities
- Own and provide expertise on domain datasets, working with large and complex data sets to solve challenging problems using analytical and statistical approaches.
- Apply quantitative analysis, experimentation, data mining, forecasting, and data presentation techniques to identify trends and patterns that inform decision-making.
- Collaborate with Product, Engineering, Finance, Marketing, Operations, Data Science, Advanced Analytics, Data and Analytical Engineering, and other cross-functional teams.
- Design, execute, and analyze experiments to measure feature impact and guide product iterations.
- Leverage causal methods when traditional randomized trials are not available.
- Design and build metrics and dimensions to monitor product and business performance.
- Build reporting and analytical tools that empower stakeholders to make data-driven decisions.
- Present findings and recommendations clearly and concisely to stakeholders, including senior leadership.
- Stay current with industry trends and advancements in quantitative and qualitative data analysis techniques.
- Leverage AI to automate repetitive tasks and empower stakeholders.
Requirements
- 10+ years of industry experience and a degree in a quantitative field, such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research. A master's degree or PhD is a plus.
- Deep expertise in a product analytics or data science role; experience with promotions or customer acquisition initiatives is a major plus.
- Strong expertise in at least one programming language, such as Python or R, and SQL.
- Experience with AI-assisted analytics tools, including Claude and ChatGPT.
- Experience analyzing A/B experiments and performing statistical data analysis.
- Experience designing and building metrics, from conception through prototype development with data pipelines.
- Prior experience in advanced analytics or business data science within a marketplace or business strategy setting is highly desirable.
- Exceptional business acumen and strategic thinking skills, with the ability to make informed judgments.
- Excellent communication skills and the ability to convey complex concepts accessibly to varied stakeholders.
- Proven stakeholder management skills, with the ability to collaborate and influence across functions independently.
- An agile, growth-minded approach and a history of driving projects from ideation to impact.
Location
This position is US remote eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with the manager. The employee must live in a state where Airbnb, Inc. has a registered entity.
Compensation
The base pay range is $180,000–$221,000 USD. The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Inclusion And Belonging
Airbnb encourages qualified individuals to apply and is committed to an inclusive application and interview process. Disability accommodations are available by contacting [email protected].