Staff – Advanced Analytics

The Community You Will Join: 

We are seeking a highly skilled and experienced professional to join our team as the Staff 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. 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 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 iInfluencing 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
• 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, 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:

• 10+ 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.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb Payments, Inc. (a subsidiary of Airbnb, Inc.) is a registered entity. Approved remote states include: Alabama, California, Florida, Georgia, Illinois, Minnesota, Mississippi, Nevada, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Tennessee, Texas, and Washington. This list is continuously evolving, so please check back with us if the state you live in is excluded. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.