Lead - Advanced Analytics

Details

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

This role supports the Community Support business within Airbnb's India Analytics team and the Strategic Planning & Operations organization. The analyst will serve as a strategic thought partner to product teams and business leaders, delivering insights, recommendations, and data-informed decisions at scale.

Responsibilities

• Serve as the primary data thought partner to product and business leaders across Community Support.
• Drive product analytics and create scalable, reusable data tools and frameworks.
• Build and scale advanced analytical capabilities using Airbnb's machine learning infrastructure and central data science tools.
• Champion AI-first analytics practices, including the use of LLM-based tools, AutoML, and advanced AI capabilities.
• Develop an understanding of guest and host interactions with the Community Support platform and manage risk and regulatory compliance using structured and unstructured data.
• Mentor and guide junior analysts.
• Drive the product analytics roadmap, prioritization, and delivery for Strategic Planning & Operations, planning up to six months ahead with minimal direction.
• Lead projects end-to-end, including timelines, milestones, stakeholder updates, and delivery.
• Partner with Product Managers and business leads to design, execute, and evaluate A/B tests, including identifying experimentation pitfalls and caveats.
• Build ground-truth datasets and dashboards that enable stakeholders to answer data questions independently.
• Collaborate with Product Engineering on logging requirements and with Analytics Engineering on scalable data tools.
• Develop business metric frameworks and optimization models for product, operations, and policy decisions.
• Influence data-driven decisions through business reviews, self-serve portals, planning scorecards, and impact analyses.
• Experiment with policy and product features to deter and mitigate risk, translating findings into actionable recommendations.
• Lead and influence machine learning model development with data science and engineering teams to automate policy enforcement decisions and route complex cases for manual review.
• Apply AI-assisted tools such as LLMs, AutoML, and NLP pipelines to accelerate analytical delivery.
• Ensure data quality and integrity by blending external and internal data sources and collaborating with global operations and India analytics teams.

Requirements

• Eight or more years of industry experience.
• An advanced degree in a quantitative field is preferred, such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research. A Master's or PhD is a plus.
• Expert-level SQL, including complex query optimization, performance tuning, and schema design.
• Strong understanding of ETL/ELT pipelines and working knowledge of data transformation tools.
• Advanced Python proficiency, including pandas, NumPy, scikit-learn, and statsmodels.
• Experience building and deploying end-to-end analytical models, including advanced regression, time-series analysis, causal inference, forecasting, and econometric modeling.
• Expert-level A/B and multivariate testing, including power analysis, switchback testing, difference-in-differences, regression discontinuity, digital funnel analysis, and cohort analysis.
• Proficiency in machine learning techniques including exploratory data analysis, hypothesis testing, linear and logistic regression, SVM, ridge and lasso regression, random forest, NLP, KNN, and K-means.
• Hands-on experience with LLMs such as ChatGPT, Gemini, or Claude, applied prompt engineering, and independently deploying AI tools for analytical problems.
• Awareness of responsible AI, data privacy regulations such as GDPR and CCPA, bias mitigation, model fairness, and compliance.
• Advanced proficiency with Tableau, Power BI, or equivalent BI platforms.
• Ability to design executive-level dashboards and self-serve analytics portals and communicate findings to senior leadership.
• Strong working knowledge of Presto, Hive, Teradata, and Spark.
• Experience designing scalable data models for analytical consumption.
• Ability to design AI-enhanced analytical workflows, evaluate AI models, and understand trade-offs among complexity, interpretability, and performance.
• Ability to lead and influence cross-functional teams and senior stakeholders without direct authority in a cross-cultural environment.
• Exceptional communication, problem-solving, organizational, and time-management skills.
• Proven experience delivering full-stack data projects from inception through measurable business impact.
• Strong mentoring and coaching skills.
• Proficiency in agile project management practices and tools such as Jira or Asana.

Benefits

The role may be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits. The base pay range is annualized, inclusive of allowances, and subject to change. Relocation is not offered for this role.