Staff Analyst, Advanced Analytics, Payments
AirbnbAirbnb 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 that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
We are looking for an expert leader to join our community as the Staff Payments Advanced Analytics. In this capacity, you will be a vital driver in executing the strategic vision for Airbnb's global Payments operations.
As a key data thought partner, you will streamline integrated, data-informed decision-making across the Payments Platform, Product, and Operations teams. Our organization is dedicated to achieving operational excellence and enhancing the Guest and Host experience through a rigorous culture of problem-solving fueled by data and research. You will embed quantitative measurement into our user journeys and product processes, establishing objective indicators for success. Collaborating with a cross-functional team of engineers and finance partners, you will oversee the technical details of fund processing, including collection, reconciliation, and settlement systems. Your expertise in building relationships and framing narratives will be essential as you influence stakeholders at every level to drive global process improvements and optimize our payments data landscape.
The Difference You Will Make:
- Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization.
- Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem.
- Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving.
- Solve complex domain challenges using advanced quantitative measurement, machine learning models, AI, and experimentation to provide fresh perspectives on existing solutions.
- Develop sophisticated analytical frameworks and statistical models to establish causal inference and drive measurable business impact.
- Bridge the gap between technical complexity and strategic influence by translating experimental results into compelling narratives for executive stakeholders.
- Influence the eTeam-level roadmap by defining key metrics in unstructured spaces and providing