Staff Advanced Analytics, Guest Product

at Airbnb

📍 United States

USD 180,000-221,000 per year

SENIOR

✅ Remote

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 @ 7 Data Analysis @ 4 Data Pipelines @ 4 Data Science @ 1 Experimentation Marketing Mathematics @ 1 Python @ 7 R @ 7 SQL @ 7 Statistics @ 1

Details

Airbnb is seeking a Staff, Advanced Analytics to support its Guest App team. This individual will act as a senior thought partner, supporting strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The individual will drive product decisions for the Guest App—especially for strategically important Promotional Merchandising initiatives—to optimize company objectives and ensure optimal experiences for guests.

Responsibilities

Be the Advanced Analytics owner and expert on domain datasets. Work with large and complex data sets to solve 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 Science, Advanced Analytics, Data and Analytical Engineering, and other cross-functional teams to provide actionable insights.
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.
Stay up-to-date with the latest 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 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 expertise in a product analytics or data science role, with experience working on promotions or customer acquisition initiatives a major plus.
Strong expertise in at least one programming language (Python or R) and SQL.
Experience with AI-assisted analytics (Claude, ChatGPT, etc.).
Experience in analysis of A|B experiments and statistical data analysis.
Experience designing and building metrics, from conception to building prototypes with data pipelines.
Prior experience in advanced analytics or business data science within a marketplace or business strategy setting highly desirable.
Exceptional business acumen and strategic thinking skills, and the ability to make informed judgments.
Excellent communication skills for engaging with a variety of stakeholders and conveying complex concepts accessibly.
Proven stakeholder management skills, able to collaborate and influence across functions independently.
An agile, growth-minded approach, demonstrated by driving projects from ideation to impact.