Latest Data Analytics jobs at Airbnb

Leads advanced analytics for product teams by analyzing complex data, designing experiments, building performance metrics, and delivering actionable recommendations. Requires 6+ years of experience, quantitative expertise, strong stakeholder communication, and proficiency in Python or R and SQL.

Leads advanced analytics for Customer Support, partnering with product and operations leaders to improve community and agent experiences through metrics, experimentation, causal inference, and scalable data tools. Requires 8+ years of business analytics experience and strong SQL plus Python or R expertise.

Staff Advanced Analytics partner for Airbnb's Guest App team, driving product decisions for Promotional Merchandising via deep data analysis, experimentation, statistical modeling, metrics development, and cross-functional collaboration. Requires 10+ years experience in product analytics/data science with strong Python/R, SQL, A/B testing, and AI tool expertise.

Senior Social Measurement Lead responsible for defining Airbnb's global social media measurement strategy, frameworks, KPIs, and experimentation. Translate complex cross-platform data and AI-driven insights into strategic narratives and actionable recommendations that connect social performance to business outcomes for marketing, comms, and leadership teams.

Lead advanced analytics for Airbnb Payments, driving data-informed decisions, experimentation, and scalable reporting to optimize global payment operations and user experiences.

As a Lead Analyst, Advanced Analytics, you will drive data-driven decision-making for Airbnb's Payments operations. You will leverage advanced analytics, AI/ML models, and experimentation to solve complex problems, optimize payment processes, and enhance Host and Guest experiences.

Owns analytics for Airbnb's guest lifecycle marketing programs. Sets strategy, designs large-scale experiments, and drives incremental bookings through insights and measurement.

Forecasts demand and plans capacity for global community support operations using advanced statistical models and analytics. Partners with stakeholders to optimize resources, service levels, and costs in a multi-channel contact center environment. Requires 10+ years in forecasting/workforce analytics and strong Python/SQL skills.