Airbnb
Senior
Drive marketplace analytics at Airbnb's Analytics Centre of Excellence — metrics, statistical modeling, and AI-first analytics adoption
Airbnb's India-based Analytics Centre of Excellence (ACOE) is hiring a senior analytics lead to build metrics/dashboards, run statistical modeling and experimentation for marketplace and pricing/monetization products, and drive adoption of AI/LLM-based analytics workflows across teams. This interview tests measurement-framework design, technical SQL/Python depth, causal inference familiarity, and stakeholder influence.
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What this interview tests
- Metric/dimension design and measurement frameworks
- Statistical modeling, experimentation, and causal inference
- SQL/Python/R proficiency and big-data tooling (Presto/Hive/Spark)
- BI/dashboarding (Tableau, Superset) for stakeholder self-serve
- AI-first analytics: LLMs and agent-based workflow automation
- Cross-functional stakeholder management and prioritization
Common question themes
Walk through designing a new marketplace metric from definition to dashboard
Describe a statistical model or experiment you built to size the ROI of an opportunity
How do you do root-cause analysis when a key metric deviates unexpectedly
What tradeoffs do you make between SQL/Python/R and BI tools like Tableau/Superset for different analytics needs
How have you used LLMs or agent-based workflows to automate analytics work
How do you prioritize across competing requests from multiple business functions
Explain a causal inference technique you've applied to a real marketplace/pricing question
How do you communicate a complex analytical finding to a non-technical stakeholder
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