Staff Analyst, Advanced Analytics, Payments

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.