Lead Analyst, Advanced Analytics

Airbnb

8h•$164,000 - $191,000•Remote

About The Position

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. 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.

Requirements

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. You can identify issues both within and outside of your immediate scope, and propose solutions.

Responsibilities

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.
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. Proactively identify opportunities for innovation
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