# Staff Analyst, Advanced Analytics, Payments

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $180k – $221k/yr
**Experience:** 10+ years
**Skills:** SQL, Python, R, Machine Learning, Causal Inference, Experimentation, Airflow, Data Modeling, ETL, AI Tools
**Posted:** 2026-06-22

> Lead advanced analytics for Airbnb Payments, driving data-informed decisions, experimentation, and scalable reporting to optimize global payment operations and user experiences.

## Job Description

## 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.
- 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.
- Degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
- 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).
- 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-Haves
- Strong storytelling skills.

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