Job description
About the Role: At Uber, we believe that electrification and renewable systems are no longer a "nice-to-have", but a climate imperative and a platform shift that will reshape the economics, experience, and infrastructure underpinning our next chapter across Rides, Delivery, and Freight. This is a unique opportunity to join the core Electrification & Sustainability (E&S) team to surface the analytical insights to inform our mobility electrification strategy. You will help shape how Uber prioritizes investments, measures success, and accelerates the transition to electric mobility by combining strategic thinking with strong business intelligence and analytical capabilities. We are confident that the long-term future of Mobility is electric, autonomous, and shared, for two reasons: - Economics: Over time and at scale, EVs - and then AVs - deliver the lowest total cost structure in terms of capital and operating expenses. We're not there everywhere yet, but the direction is clear - Customer experience: EVs/AVs are inherently a better product - they provide quieter, smoother, safer, and increasingly software-defined riding experiences Your role will be to help us pressure test these assumptions, and to find ways to accelerate towards this future by making Uber the world's best platform for EVs. # What You'll Do: Strategic Analytics & Decision Support - Develop data-driven strategic frameworks to support operational decisions, prioritization, and target setting across Uber's electrification initiatives - Conduct deep-dive analyses on EV adoption, fleet economics, marketplace dynamics, and regional operational performance - Partner with global and regional business leaders to evaluate market opportunities, operational tradeoffs, and program effectiveness - Translate ambiguous business questions into structured analytical approaches and actionable recommendations Business Intelligence & Measurement - Design and maintain metrics, KPI frameworks, and reporting systems that improve visibility into program and operational performance - Build scalable dashboards, tracking mechanisms, and analytical tooling to support real-time and long-term decision-making - Surface insights from large and complex datasets to inform strategic planning, operational execution, and executive discussions Cross-Functional Partnership - Collaborate closely with Operations, Product, Policy, Finance, Engineering, and Data Science partners to drive strategic initiatives - including experiments to highlight the platform benefits of mobility electrification - Act as a trusted thought partner to business unit leaders by bringing analytical rigor and strong business judgment to complex decisions - Foster connectivity between global and regional teams through shared insights, frameworks, and operational learnings - Contribute to broader thought leadership on electrification, energy systems, and future mobility trends Operational Planning & Organizational Effectiveness - Support annual and quarterly planning processes, including OKRs, roadmap development, resource planning, and executive reviews Basic Qualifications: - 6+ years' experience in Business Intelligence, Strategy, Data Analytics, Operations, Technology or similar - SQL proficiency - Strong data fluency, including the ability to independently structure analyses, work with large datasets, and generate actionable insights - Experience developing metrics, dashboards, reporting frameworks, or operational analyses to support business decision-making - Bachelor's degree Preferred Qualifications: - 8+ years' experience in Business Intelligence, Strategy, Data Analytics, Operations, Technology or similar - Strategic Vision: Ability to prioritize a complex roadmap, establish areas of strategic focus, and articulate a clear, inspiring vision for the analytics function - Stakeholder Influence: Proven ability to build relationships and influence senior leadership (C-suite/VP level) and cross-functional partners in Tech, Policy, and Ops - Technical Proficiency: High proficiency in R or Python is strongly preferred to drive more automated and scalable solutions - Statistical Rigor: A skilled grasp of statistics (distributions, confidence intervals, statistical significance, and regressions) to ensure our data-driven decisions are scientifically sound - Advanced Analytics: Experience in experimental design and the ability to design, manage, and shape complex analytical work from scratch - Data Strategy: Proven track record of data-driven thinking on key strategic issues, including the ability to develop and test new hypotheses and frameworks in a cross-functional setting - Business Acumen: Strong decision-making skills with the ability to think through complex problems involving difficult trade-offs and competing global demands - Operational Excellence: Excellent planning and organization skills; the ability to remain flexible and manage a wide portfolio of projects simultaneously while