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Airbnb
Airbnb Lead Advanced Analytics Recruitment 2026: Apply Online
Lead Advanced Analytics
Experience Required
8+ years
Salary / Package
Competitive + Equity + Benefits
Work Mode
On-site
Openings
1
Job Overview
Airbnb is seeking a Lead, Advanced Analytics, Marketplace to help enable travel for millions of guests and hosts on our platform. The Analytics Centre of Excellence (ACOE) in India provides data-driven decision-making across various business functions. This role will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and reporting tool development. Candidates will build sophisticated dashboards, work cross-functional with finance and data science teams, and scale AI-first analytics capabilities by integrating LLMs and automation.
Key Job Details
| Company Name | Airbnb |
| Job Role | Lead Advanced Analytics |
| Experience | 8+ years |
| Salary Range | Competitive + Equity + Benefits |
| Job Type | Full-time |
| Work Mode | On-site |
| Openings | 1 |
| Job Location | Gurugram, India |
Key Responsibilities
- Design and build metrics and dimensions to monitor product and business performance.
- Build sophisticated reporting, analytical tools, and dashboards to empower stakeholders.
- Work cross-functionally with Strategic Finance, Data Engineering, and Data Science teams.
- Conduct advanced data analysis and statistical modeling to extract actionable insights.
- Drive data best practices, automate analytical processes, and mentor team members.
- Build and scale AI-first analytics capabilities by integrating LLMs and agent-based workflows.
- Drive adoption of AI tools across teams for self-serve analytics and decision support.
Requirements & Qualifications
- 8+ years of industry experience in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
- Prior experience in product analytics within a marketplace and pricing/monetization products.
- Deep expertise in measurement frameworks, metric design, and metric creation.
- Advanced proficiency in SQL/NoSQL, Python, R, SAS; intermediate knowledge of Presto, Hive, Teradata, Spark.
- Expertise with BI tools like Tableau or Superset.
- Familiarity with experimentation, causal inference, and LLMs.
- Robust business acumen, strategic thinking, and exceptional stakeholder management skills.
Required Skills
- Advanced Analytics
- Marketplace Analytics
- SQL & NoSQL
- Python / R / SAS
- Tableau & Superset
- Statistical Modeling
- Experimentation & Causal Inference
- AI & LLM Integration
- Stakeholder Management
About Airbnb
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that connect communities in an authentic way.
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Frequently Asked Questions
Q: What is the role being offered at Airbnb?
A: Airbnb is hiring a Lead Advanced Analytics, Marketplace based in Gurugram, India.
Q: What qualifications are required for this position?
A: Candidates must have 8+ years of industry experience and a degree (Masters or PhD is a plus) in a quantitative field such as Statistics, Computer Science, Mathematics, or Data Science.
Q: What technical skills are needed?
A: Advanced proficiency in SQL/NoSQL, Python, R, SAS, and BI tools like Tableau or Superset is required, along with familiarity with AI, LLMs, and big data foundations.
Q: How can I apply for the Lead Advanced Analytics job at Airbnb?
A: You can apply online through the official Airbnb Careers portal via the provided application link.
Q: Where is the office located for this role?
A: The position is based in Gurugram, India.
Disclaimer: This job post is prepared by collecting data from the official career page of Airbnb. We are not direct recruiters or representatives. Candidates should carefully review the requirements and policies on the company’s portal before initiating an application.