Staff Analyst, Advanced Analytics, Payments
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.
Sourced via greenhouse · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.