Staff, Advanced Analytics

Airbnb

13h•$180,000 - $221,000•Remote

About The Position

Airbnb is seeking a Staff, Advanced Analytics professional to support its Host Incentives team. The role supports strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The position helps build and scale an efficient and effective incentive program for hosts. The role owns the end-to-end measurement strategy for host incentives, sets analytical standards for evaluating incentive programs, and serves as a senior thought partner to Operations, Data Science, Finance, and Product leadership. It involves working with complex datasets, applying quantitative and statistical approaches, designing experiments and causal analyses, developing metrics and reporting tools, and presenting actionable findings to stakeholders, including senior leaders. The role also uses AI to automate repetitive tasks and empower stakeholders. This is a US remote-eligible position. The employee must live in a state where Airbnb, Inc. has a registered entity. Occasional work at an Airbnb office or attendance at offsites may be required, as agreed with the manager.

Requirements

10 or more years of industry experience.
A degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
Prior experience in an advanced analytics or data science role.
Strong business acumen and strategic thinking, with the ability to conduct rigorous analysis and make informed judgments.
Excellent communication skills and the ability to explain complex concepts accessibly to varied stakeholders.
Stakeholder management skills, including 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 prototyping with data pipelines.
Strong expertise in at least one programming language, 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 or ChatGPT.

Nice To Haves

A master's degree or PhD in a quantitative field.
Experience measuring incentive, promotion, pricing, or marketing-spend programs, including incrementality and ROI.

Responsibilities

Own the end-to-end measurement strategy for host incentives and drive its roadmap with limited direction.
Set analytical standards for evaluating host incentive programs and serve as a senior thought partner to Operations, Data Science, Finance, and Product leadership.
Analyze large, complex datasets using a range of analytical and statistical approaches.
Apply quantitative analysis, experimentation, data mining, and forecasting to identify trends and inform decisions.
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 reporting and analytical tools that enable stakeholders to make data-driven decisions.
Present findings and recommendations clearly to stakeholders, including senior leadership.
Stay current with developments in quantitative and qualitative data analysis techniques.
Use AI to automate repetitive tasks and empower stakeholders.