Lead - Advanced Analytics, Gurgaon

Airbnb
Gurugram
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: mastersSkills: ["Communication","Leadership","Mentoring","Problem-solving","Presentation"]

Lead advanced analytics for Airbnb’s India Analytics team focused on Community Support. Drive product analytics, build scalable data tools, mentor analysts, and champion AI-first analytical workflows across cross-functional teams to inform data-driven decisions and manage risk.

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FursaFursa
Airbnb
Airbnb
1 month ago

Lead - Advanced Analytics, Gurgaon

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Last checked: 6 hours agoStatus: Live

Job Summary

Lead advanced analytics for Airbnb’s India Analytics team focused on Community Support. Drive product analytics, build scalable data tools, mentor analysts, and champion AI-first analytical workflows across cross-functional teams to inform data-driven decisions and manage risk.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Sr. Manager level

Key Responsibilities

  • •Serve as the primary data thought partner to product and business leaders across Community Support, providing strategic insights, recommendations, and enabling data-informed decisions at an organizational level.
  • •Drive day-to-day product analytics and create scalable, reusable data tools and frameworks that elevate the entire team's analytical capability.
  • •Build and scale advanced analytical capabilities; leverage Airbnb's state-of-the-art machine learning infrastructure and central data science tools to collaborate with engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals.
  • •Champion AI-first analytics practices across the team identifying high-impact opportunities to integrate LLM-based tools, AutoML, and advanced AI capabilities into analytical workflows.
  • •Mentor and guide junior analysts, fostering a culture of analytical rigor, curiosity, and continuous skill development.

Key Requirements

  • •8+ years of industry experience with an advanced degree (Master's or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
  • •Expert-level SQL; complex query optimization, performance tuning, and schema design; strong understanding of ETL/ELT pipelines; working knowledge of data transformation tools.
  • •Programming & Statistical Modeling: Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels); ability to build and deploy end-to-end analytical models; experience with advanced regression techniques, time-series analysis, and causal inference.
  • •Experimentation & Analytical Frameworks: Expert-level A/B testing and multivariate testing; advanced experiment design including power analysis, switchback testing, and quasi-experimental methods (diff-in-diff, regression discontinuity); digital funnel and cohort analysis.
  • •Machine Learning & AI (Proficient): Proficiency in ML techniques including EDA, hypothesis testing, linear/logistic regression, SVM, ridge/lasso regression, random forest, NLP, KNN, and K-means; hands-on experience with LLMs (e.g., ChatGPT, Gemini, Claude) and applied prompt engineering; ability to independently deploy AI tools to solve analytical problems; awareness of responsible AI, data privacy (GDPR/CCPA), and bias mitigation.
Experience:8+ yearsData analyticsData scienceAILLMsEconometricsForecasting
Education:Master's
Skills:CommunicationLeadershipMentoringProblem-solvingPresentation
Languages:English
Tech Stack:SQLPythonPandasNumpyScikit-learnStatsmodelsTableauPower BIPrestoHiveTeradataSparkLLMsNLPAutoMLDiff-in-diffCausal inference

Company Brief

Airbnb
Online marketplace that connects travelers with hosts offering short-term lodging, experiences, and long-term stays. Facilitates booking, payments, and reviews while providing tools for hosts to manage listings globally.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2008
WebsiteLinkedIn