Lead, Advanced Analytics, Payments Insights

We are seeking a highly skilled and experienced professional to join our team as the Lead Analyst, Advanced Analytics, Payments Insights. 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. • Be part of a team committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. • Inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. • 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). • Work closely with cross-functional teams to drive process improvements and streamline payments data globally. • Utilize your ability to effectively communicate and build relationships with stakeholders at all levels of the organization. The Difference You Will Make: • You are passionate about solving complex problems within the Payments domain with data & insights; 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. • You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey. • Ability to create impact for key projects at the eTeam direct level by influencing strategy and roadmap. A Typical Day: • Generating payment reports and analyzing payment data for insights and performance evaluation. • Provide regular updates and reports to management and stakeholders. • Assist with analyzing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimization. • 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, both internal and external, to inform strategic decision-making. • Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape. Proactively identify opportunities for innovation. • Oversee the day to day operations in partnership with finance. • Ensure accurate and efficient handling of payments transaction. • 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. Your Expertise: • 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 team and/or have worked closely. • 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). • Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions. Core Skills: Causal, SQL, Data Analysis, Python, R Other Skills: Machine Learning, Data Modeling, ETL, Airflow Seniority: Lead Apply Job!