The opportunity
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences…
What you'll do
Work with technical and business teams to develop robust insights, create: data narratives and leverage Airbnb’s rich data to define metrics.
Build advanced analytical capabilities and tools, passionate about solving: complex problems with data; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis.
Leverage Airbnb’s state-of-art machine learning infrastructure, and other: central data science tools to build and collaborate with a strong team of engineers, product managers, designers and operation agents to achieve shared, cross-functional goals.
You have a strong sense of urgency for and commitment to Airbnb’s mission of belonging.
Develop a deep understanding of how guests and hosts interact with our Fraud: & Safety frictions and how we can manage our risk while meeting our regulatory compliance requirements, through structured and unstructured data sources.
Execute projects with regular direction; Set a roadmap for projects up to a: quarter ahead providing constant updates to business stakeholders, analytics management and deliver against agreed timelines.
What they're looking for
- Ensure the availability of data quality and data integrity for analysis and: reporting, by blending external and internal data, working closely with global operations and India analytics functions.
- Perform data modeling for the various entities involved in Airbnb including: customers, hosts, cases, agents, and others using modern data modeling tools and frameworks to provide the analytical foundation.
- Execute ad-hoc reporting, data investigations, and root cause analysis into: various operational areas including policy incubation, enforcement efficacy, prevalence, efficiency, agent tooling, agent staffing & optimization, and agent quality & efficiency to identify and solve for operational bottlenecks and inefficiencies.
- Devise business metric frameworks and optimization models to make optimal: business decisions that support arguments for Airbnb’s product, operations and policy issues
