Advanced Analytics Staff

Summary

Join Airbnb as an Advanced Analytics Lead and become a data thought partner to product and business leaders. You will drive daily analytics, build scalable data tools, and identify pain points in travel and hosting. Leverage Airbnb's data and machine learning infrastructure to enhance measurement capacity. Collaborate with engineers, product managers, and designers to achieve cross-functional goals. This role requires expertise in analytical frameworks, statistical models, and causal inference. You'll be responsible for leading data-driven roadmaps and building business insights platforms.

Requirements

• A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
• Have experience supporting community support and/or have worked closely with operations teams
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
• Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions

Responsibilities

• Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions
• Drive day to day analytics and create scalable data tools
• Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest, host and agent community
• Lead and drive data-driven roadmaps for the CS working groups. Recommend actionable solutions backed by data and metrics to product problems, with the ability to effectively communicate with Product, Operations & Engineering managers of varying technical levels
• Build the business insights & reporting platform to detect and support the driving efficacy and efficiency of behaviors and product interfaces and processes across CS platform and contact center network
• Perform data modeling of the various entities and using tools & frameworks for optimizing community and agent experiences
• Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development. Communicating a robust understanding of what moves these metrics and why
• Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
• Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits