Lead Analyst, Advanced Analytics

• 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
• Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape
• Monitor payment trends, identify areas for improvement and implement strategies to optimize payments processing
• Provide guidance to platform to maintain a robust and reliable payments infrastructure, contributing to the overall financial health of the business

• 8+ years of industry experience in business analytics 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)
• Have experience supporting Payments teams and/or have worked closely with payments organizations, with demonstrated exposure to multiple payment risk domains such as trust & safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)
• Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
• Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
• Exceptional communication and storytelling skills, you can distill highly technical work (model outputs, experimental results, complex data analyses) into clear, actionable insights for senior leadership and business stakeholders
• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision

Masters or PhD

• bonus
• equity
• benefits
• Employee Travel Credits