Lead Advanced Analytics

at Airbnb
📍 Gurugram, India
INR 3,080,000-4,400,000 per year
SENIOR
✅ On-site

Tech Stack

AI @ 4 Agile @ 6 BI @ 6 Communication @ 6 Compliance Customer Support Data Analysis Data Science @ 4 Experimentation @ 3 Hive @ 4 LLM Mathematics @ 6 Mentoring NoSQL @ 6 Payments Presto @ 4 Python @ 6 R @ 6 SQL @ 6 Spark @ 4 Statistics @ 6 Tableau @ 6

Details

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, provides scalable, data-driven analytics to support business and product decisions across functions including payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms, and partnerships and economics.

The Lead, Advanced Analytics, Marketplace will support strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and the development of reporting tools and metrics. The role will help drive business and product decisions across the company.

Responsibilities

  • Design and build metrics and dimensions to monitor product and business performance.
  • Build sophisticated reporting, analytical tools, and dashboards that empower stakeholders to make data-driven decisions.
  • Work cross-functionally with Strategic Finance, Data and Analytical Engineering, and Data Science teams to ensure alignment and leverage synergies.
  • Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions.
  • Advance the Analytics and Data Science disciplines at Airbnb by improving and automating analytical processes, building new data tools and datasets, providing data education, and mentoring and developing others.
  • Build and scale AI-first analytics capabilities by integrating LLMs, agent-based workflows, and automation into day-to-day analytical processes.
  • Drive adoption of AI tools across teams by embedding them into business workflows, enabling self-serve analytics and decision support.
  • Stay current with applied AI developments and evaluate their relevance for solving business problems.

Requirements

  • 8+ years of industry experience.
  • A degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research. A Master's degree or PhD is a plus.
  • Prior experience in data science or product analytics within a marketplace, including pricing and monetization products.
  • Deep expertise in measurement frameworks, metric design, and metric creation.
  • Advanced proficiency in SQL/NoSQL and programming languages such as Python, R, and SAS.
  • Intermediate knowledge of data foundations and databases such as Presto, Hive, Teradata, and Spark.
  • Expert proficiency with BI tools such as Tableau or Superset for developing reports and dashboards.
  • Experience leveraging AI to build dashboards, automate repetitive tasks, and empower stakeholders.
  • Familiarity with experimentation, causal inference, and LLMs.
  • Strong business acumen and strategic thinking skills.
  • Outstanding communication skills and the ability to convey complex concepts accessibly.
  • Exceptional stakeholder management skills, with the ability to collaborate and influence across functions.
  • An agile, growth-minded approach and a history of driving projects from ideation to impact.

Compensation

The annual base pay range is inclusive of allowances and may vary based on training, transferable skills, work experience, business needs, and market demands. The role may also be eligible for bonuses or incentives, equity programs, benefits, and Employee Travel Credits.

  • India annual pay range: ₹3,080,000–₹4,400,000 INR

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