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Staff Analyst, Advanced Analytics, Payments

United States🌐 Remote💼 Full-time💰 $180,000–$180,000🗓 2026-06-22 → 2026-07-31

Core

Staff leader driving strategic vision and data-informed decision-making for Airbnb's global Payments operations, embedding quantitative measurement into user journeys and product processes.

Role type

Staff-level advanced analytics leader (payments)

Builds

Scalable reporting platforms, analytical frameworks, and strategic OKR planning for the payments ecosystem.

Domain

Fintech / Payments / Multi-sided platform

Deliverable

dashboards & analysis

Required skills

Advanced quantitative measurement, causal inference, machine learning, experimentation design, SQL, Python or R, schema design, high-dimensional data modeling, ETL frameworks (Airflow)

Preferred skills

AI tools for workflow scaling, non-experimental causal inference methods, multi-sided platform experience

Technologies

SQL, Python, R, Airflow

Responsibilities

Drive strategic Payments roadmaps and user journey optimizations; deliver executive scorecards and strategic OKR planning; architect scalable business insight frameworks; design and execute rigorous experimentation frameworks; construct data models to size product offerings; collaborate with platform teams to maintain resilient payments infrastructure.

Seniority

Staff, hands-on IC with strategic influence

Rewrite
## Responsibilities - 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. - Utilize Airbnb’s sophisticated data infrastructure and machine learning tools to expand our organizational measurement capacity. - Immerse yourself in the technical intricacies of our payment processing systems, partnering with a cross-functional team of engineers and product managers. - Drive strategic Payments roadmaps and user journey optimizations through data-informed insights and cross-functional collaboration. - Empower decision-making through the delivery of business reviews, executive scorecards, and strategic OKR planning. - Architect scalable business insight and reporting frameworks designed to achieve organizational objectives. - Design and execute rigorous experimentation frameworks, utilizing advanced statistical modeling and causal inference to quantify business impact and drive strategic process refinements. - Construct data models to size product offerings and drive clear prioritization. - Collaborate with platform teams to maintain a resilient payments infrastructure. - Analyze payment processing trends and partner with cross-functional stakeholders to apply any changes to the business. - Draw upon expertise in intersecting domains to discover patterns and identify systemic opportunities. - Monitor the global fintech landscape for emerging trends and regulatory shifts, proactively identifying avenues for innovation within our ecosystem. ## Requirements - 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). ## Nice to Have - None specified. ## Benefits - Join a global company with a mission to connect people through unique stays and experiences. - Work with cross-functional teams of engineers, finance partners, and product managers. - Influence the strategic direction of the Payments operations and drive global process improvements. - Utilize cutting-edge data infrastructure and machine learning tools to expand organizational measurement capacity. - Collaborate on innovative projects that impact the Guest and Host experience worldwide.
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