Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 4
SQL @ 4
R @ 4
Statistics @ 1
ETL @ 3
Airflow @ 3
Machine Learning @ 4
Data Science @ 1
Leadership @ 4
Communication @ 4
Mathematics @ 1
Data Analysis @ 4
Payments Processing @ 4
Experimentation @ 4
Fraud @ 4
Compliance @ 4
AI @ 4
Data Modeling @ 3
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
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. You will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, and 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.
Responsibilities
- Generate payment reports and analyze 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 issues, and recommending solutions and optimizations.
- 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 to drive Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with measurable results.
- Build new payment strategies to balance financial risk and experience for different seller segments using advanced data analytics, AI/ML techniques.
- Leverage experience across adjacent payment risk domains (trust & safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities.
- Monitor payment trends, identify areas for improvement and implement strategies to optimize payments processing.
- Provide guidance to platform teams to maintain a robust and reliable payments infrastructure, contributing to overall financial health.
Requirements
- 8+ years of industry experience in business analytics; a Masters or PhD in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research) is a plus.
- Experience supporting Payments teams and/or working closely with payments organizations, with exposure to payment risk domains such as trust & safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management.
- Expert skills in SQL.
- 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; familiarity with ETL frameworks (e.g., Airflow).
- Experience building and analyzing analytical frameworks, statistical models, and experimentation methods to establish causal relationships and drive measurable impact.
- Exceptional communication and storytelling skills; ability to translate technical analyses and experimental results into clear, actionable insights for senior leadership and business stakeholders.
- Ability to work under ambiguity in a fast-growth environment, act with minimal supervision, and identify and propose solutions across scopes.
Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager. You must live in a state where Airbnb, Inc. has a registered entity. Check Airbnb careers for the up-to-date list of excluded states.
Compensation & Benefits
- Base pay range: $164,000ā$191,000 USD.
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Inclusion & Accessibility
Airbnb is committed to inclusion and belonging and encourages applications from a broad talent pool. Candidates with disabilities who require reasonable accommodation for the application or interview process can contact [email protected] with their full name, role, and requested accommodation.