Airbnb Lead Advanced Analytics Aircover 

United States 

146662328

The Difference You Will Make:

• 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
• Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest and host community

A Typical Day:

• Build metrics and dimensions in data warehouse to support business decisions
• Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations.
• 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.
• 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.

Your Expertise:

• 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).
• 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 partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
• Experience in analysis of A|B experiments and statistical data analysis
• Experience designing and building metrics, from conception to building prototypes with data pipelines
• Strong knowledge in at least one programming language (Python or R) and in SQL
• Ability to drive data strategies, with a central source of truth to impact business decisions
• Knowledge and experience in insurance industry - a plus
• Knowledge and experience in customer experience measurement - a plus