Lead - Advanced Analytics

• 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
• Demonstrate a strong sense of urgency and commitment to Airbnb's mission of belonging
• Develop a deep understanding of how guests and hosts interact with our Community Support platform and how we can manage risk while meeting regulatory compliance requirements through structured and unstructured data sources
• Mentor and guide junior analysts, fostering a culture of analytical rigor, curiosity, and continuous skill development
• Drive the product analytics roadmap, prioritization, and delivery of solutions in the Strategic Planning & Operations space, operating with minimal direction and planning up to 6 months ahead
• Lead projects end-to-end: building timelines, defining key milestones, providing regular updates to product managers and analytics leadership, and delivering against agreed timelines
• Work closely with Product Managers and Business leads to design, execute, and evaluate A/B tests
• proactively identify and communicate common pitfalls and caveats of experimentation
• Build credibility and trust with the team by building high-quality ground truth datasets and dashboards that empower stakeholders to answer data questions quickly and independently
• Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build scalable data tools for mass consumption within Airbnb
• Devise business metric frameworks and optimization models to support Airbnb's product, operations, and policy decisions at scale
• Influence data-driven decisions across global sites and business verticals via business reviews, self-serve portals, planning scorecards, and impact analyses
• Experiment with new Airbnb policy/product features to help deter and mitigate risk
• translate findings into actionable recommendations for leadership
• Lead and influence machine learning model development in partnership with DS/Engineering teams to automate policy enforcement decisions, while routing the most complex cases for manual review
• Proactively identify opportunities to apply AI-assisted tools (e.g., LLMs, AutoML, NLP pipelines) to accelerate analytical delivery and unlock new analytical capabilities
• Ensure the availability of data quality and integrity for analysis and reporting by blending external and internal data sources, working closely with global operations and India analytics functions

• 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
• 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
• 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
• 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 with forecasting and advanced econometric modeling is a requirement
• Advanced proficiency in Tableau, Power BI, or equivalent BI platforms
• ability to design and build executive-level dashboards and self-serve analytics portals
• strong data storytelling and presentation skills for senior leadership audiences
• Strong working knowledge of Presto, Hive, Teradata, and Spark
• experience designing scalable data models for analytical consumption
• Independently applies AI tools (LLMs, AutoML, NLP pipelines) to solve complex business problems
• Designs and implements AI-enhanced analytical workflows that can be adopted team-wide
• Evaluates and selects appropriate AI models for specific use cases
• understands trade-offs between model complexity, interpretability, and performance
• Champions responsible AI principles including bias detection, model fairness, and compliance with data privacy regulations (GDPR/CCPA)
• Contributes to AI-first culture by sharing best practices, running enablement sessions, and identifying new AI use cases
• Proven ability to lead and influence cross-functional teams and senior stakeholders in a cross-cultural environment without direct authority
• Exceptional communication skills
• able to translate complex analytical findings into clear, actionable narratives for both technical and non-technical audiences
• Proven track record of delivering full-stack data projects from inception to measurable business impact
• Strong mentoring and coaching skills
• demonstrated ability to develop junior talent
• Positive, solution-oriented mindset with the ability to maintain confidentiality and objectivity
• Exceptional problem-solving abilities, self-motivation, and autonomy
• strong organizational and time management skills with the ability to manage multiple high-priority workstreams and meet deadlines
• Proficiency in agile project management practices and tools (e.g., Jira/Asana)

Master's or PhD is a plus

• Bonus or incentives
• one or more equity programs
• benefits
• Employee Travel Credits