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Lead, Advanced Analytics, Payments

Airbnb
CompanyAirbnb
CategoryData & Analytics
LocationUnited States
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted29 May 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
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 that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments operations. Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organizations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues). Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals. The Difference You Will Make You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships and drive measurable impact. You are a storyteller and technician that translates deeply technical analyses, and experimental results into compelling narratives that drive strategic business influence Ability to create impact for key  projects at the eTeam direct level by iInfluencing strategy and roadmap through data-backed storytelling and actionable recommendations. A Typical Day Generating payment reports and analyzing payment data for insights and performance evaluation Provide regular updates and reports to management and stakeholders, translating complex technical findings into business-friendly narratives and recommendations for leadership. Assist with analyzing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimization Design, execute, and analyze experiments to evaluate the impact of Payment strategies, product changes, and process improvements.  You will collaborate on Financial Risk Management including losses, chargebacks and other cost components, and automation of payments processes Assist with initiatives to optimize the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilizing advanced data analytics, AI/ML techniques to inform strategic decision-making Leverage experience across adjacent payment risk domains (trust & safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities. S
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