Global BizOps, Quantitative Senior Analyst

Global BizOps, Quantitative Senior Analyst Department: Operations Team: Strategy & Planning Location: New York, United States Type: Full-Time ## **About the Role** The Global BizOps team builds and continuously improves the analytical tools and data foundations that help Mobility teams understand the ground truth of our business. As a Global Portfolio Analyst, you’ll be a hands‑on contributor who helps surface the most important performance signals across our global portfolio and supports senior leaders in making fast, data‑backed decisions. This role is ideal for someone who thrives in fast‑moving environments, prefers pragmatic analytical approaches over overly complex models, and enjoys breaking down ambiguous problems using clear, simple, high‑rigor methods. You’ll work closely with senior analysts and regional BizOps partners to investigate performance trends, validate or challenge assumptions, and help ensure our global view of the business is grounded in high‑quality, timely analysis. ## **What You’ll Do** - Analyze global and regional business performance using statistical and visual analytical tools, surfacing key trends, anomalies, risks, and opportunities. - Support a “management by exception” model by helping identify which performance signals matter most right now and why. - Conduct deep‑dive analyses on priority questions and hypotheses, using pragmatic methods (regressions, time‑series, sampling, heuristics) to get to ground truth quickly. - Build clear, highly curated visualizations and dashboards that simplify complex problems and help senior stakeholders understand what’s happening at a glance. - Partner with regional BizOps teams to contextualize findings and ensure analyses are consistent, comparable, and aligned with global narratives. - Maintain and update a structured view of key assumptions, performance drivers, and “big bold questions” (BBQs) that guide ongoing analytical work. - Contribute to the evolution of our analytical tooling by identifying gaps, proposing improvements, and sharing insights with the teams building our next‑generation data products. - Develop subject‑ma