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Airbnb
is hiring
Staff Data Analyst, Payments
About Our Company
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, experiences and services that make it possible for guests to connect with communities in a more authentic way.
Job Description & Responsibilities
The Difference You Will Make:
Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization.
Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem.
Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving.
Solve complex domain challenges using advanced quantitative measurement, machine learning models, AI, and experimentation to provide fresh perspectives on existing solutions.
Develop sophisticated analytical frameworks and statistical models to establish causal inference and drive measurable business impact.
Bridge the gap between technical complexity and strategic influence by translating experimental results into compelling narratives for executive stakeholders.
Influence the eTeam-level roadmap by defining key metrics in unstructured spaces and providing data-backed strategy recommendations.
Requirements
Your Expertise:
A minimum of 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).
Possess a proven track record of working in Payments organizations, demonstrating deep technical proficiency across payments domain areas, such as payment processing, risk, and compliance.
Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).
Strong storytelling skills. Able to drive
Experience in using AI tools to scale workflows, and identify new areas of opportunity.
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).
What we offer
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$180,000—$221,000 USD
