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Company | Airbnb |
Address | United States |
Employment type | FULL_TIME |
Salary | |
Category | Technology, Information and Internet,Travel Arrangements,Hospitality |
Expires | 2023-05-22 |
Posted at | 1 year ago |
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
- Develop a deep understanding of how guests and hosts interact with our payments platform and how we can manage our risk while meeting our regulatory compliance requirements, through structured and unstructured data sources.
- Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.
- Drive day to day product analytics and create scalable data tools
- Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build data tools for mass consumptions within Airbnb.
- Define how to best measure the performance of Airbnb product and business through new metrics and dimensions. Align with stakeholders, understand tradeoffs and guardrails, prototype metrics through custom data pipelines.
- Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations.
- 5+ years in industry experience 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).
- Strong knowledge in at least one programming language (Python or R) and in SQL
- Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
- Experience designing and building metrics, from conception to building prototypes with data pipelines
- Knowledge and experience in risk/compliance processes and data needs - preferred
- Experience in analysis of A|B experiments and statistical data analysis
- Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
- Knowledge and experience in payments processes, systems and tools - preferred
- Ability to drive data strategies, with a central source of truth to impact business decisions
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