# Lead Advanced Analytics, Guest Product

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $164k – $191k/yr
**Experience:** 6+ years
**Skills:** advanced analytics, Experimentation, Statistical Modeling, A/B Testing, Causal Inference, metrics design, Python, R, SQL, data mining, Forecasting, ai-assisted analytics
**Posted:** 2026-07-24

> Lead Advanced Analytics for Airbnb's Guest App team. Drive product decisions through data analysis, experimentation, statistical modeling, metrics development, and cross-functional collaboration with Product and Engineering.

## Job Description

## Responsibilities
- 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, Capacity Planning 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
- 6+ 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).
- Prior experience in an advanced analytics or product data science role.
- Exceptional business acumen, strategic thinking skills, and the ability to conduct rigorous analysis and make informed judgments.
- Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
- Proven stakeholder management skills, with the ability to collaborate and influence across functions.
- Experience partnering with product teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.
- Experience in analysis of A|B experiments and statistical data analysis.
- Experience designing and building metrics, from conception to building prototypes with data pipelines.
- Strong expertise in at least one programming language (Python or R) and SQL.
- Experience with AI-assisted analytics (Claude, ChatGPT, etc).
- An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

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