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
Data Analysis @ 4
Data Pipelines @ 4
Data Science @ 8
Experimentation
Marketing @ 4
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 Host Incentives team. This role will support strategic business and product initiatives through data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The position will help build and scale an efficient and effective incentive program for hosts.
Responsibilities
- Own the measurement strategy for host incentives end to end and drive the roadmap with limited direction.
- Set the analytical standard for evaluating host incentive programs and serve as a senior thought partner to Operations, Data Science, Finance, and Product leadership.
- Work with large and complex data sets to solve challenging problems using diverse 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 Operations, Data Science, Finance, Product, and other cross-functional teams to provide actionable insights.
- Design, execute, and analyze experiments to measure impact and guide incentive iterations, using causal methods when randomized trials are unavailable.
- Design and build metrics and 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 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.
- Prior experience in an advanced analytics or data science role.
- Experience measuring incentive, promotion, pricing, or marketing-spend programs, including incrementality and return on investment, is strongly preferred.
- Exceptional business acumen and strategic-thinking skills, with the ability to conduct rigorous analysis and make informed judgments.
- Excellent communication skills and the ability to convey complex concepts accessibly to a variety of stakeholders.
- Proven stakeholder-management skills, with the ability to collaborate and influence across functions.
- Experience partnering with Operations and Finance teams to drive action and provide expertise and direction on analytics, experimental design, and measurement.
- Experience analyzing A/B experiments and performing statistical data analysis.
- Experience designing and building metrics, from conception through prototype development with data pipelines.
- Strong expertise in at least one programming language, such as Python or R, and SQL.
- An agile, growth-minded approach and a history of driving projects from ideation to impact.
- Experience with AI-assisted analytics tools such as Claude and ChatGPT.
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. Candidates must live in a state where Airbnb, Inc. has a registered entity.
Benefits
The role may be eligible for bonus, equity, benefits, and Employee Travel Credits. Airbnb provides reasonable accommodations throughout the recruitment process for applicants with disabilities.