Manager, Analytics - Financial Operations

Uber Uber · Consumer · San Francisco, CA · Finance & Accounting

Manager for Uber's Financial Operations Analytics team, focusing on leveraging AI and data analysis to drive strategic decisions. The role involves managing a team of analysts, owning the analytics lifecycle, utilizing predictive modeling, and driving automation through AI. Key responsibilities include stakeholder management, project oversight, team leadership, and championing the transition to AI Assistants for financial insights.

What you'd actually do

  1. Manage a team of developer analysts in the creation and enhancement of insightful and actionable analytics
  2. Own the full lifecycle of operational metrics—from KPI design to dashboard deployment and stakeholder adoption to design metrics that drive accountability, surface inefficiencies, and guide automation.
  3. Utilize predictive modeling techniques to support scenario analysis, helping the FinOps team to understand potential financial outcomes based on various business strategies.
  4. Drive automation efforts for reporting, leveraging AI and other data science tools to increase efficiency and accuracy.
  5. Lead the transition from old-fashioned static charts to interactive AI Assistants that allow our teams to get instant answers to complex financial questions.

Skills

Required

  • Experience managing global teams
  • Project Management and Change Management
  • Proficiency in Tableau, Jira, Asana, Excel, G-Suite
  • Troubleshooting systems
  • 6+ years of work experience in finance analytics, data analytics, or within a similar field
  • Experience with SQL
  • Bachelor’s Degree

Nice to have

  • Master’s degree in related field
  • Experience in Oracle Analytics Services and Fusion Reporting
  • Experience with Tableau dashboard design
  • Experience with Ramp
  • Expert SQL skills.
  • High technical proficiency in common analytics & reporting tools (e.g., Tableau, Google Data Studio, Google Sheets/Excel).
  • Experience in Python
  • Advanced data analysis skills leading to actionable recommendations.
  • Experience in leading high-visibility projects and influencing others in a cross-functional team environment
  • Strong sense of ownership and accountability
  • Curious, self-directed, and impact-driven—you chase high-impact problems to deliver solutions.
  • Comfortable with ambiguity and switching contexts in a fast-moving environment
  • Strong storytelling ability: Distilling exciting and hard-to-find insights into a compelling, concise data story.
  • Experience in data extraction, wrangling, and building pipelines.
  • Strong analytical and problem-solving mindset
  • Highly self-motivated, proactive, and able to drive projects independently.
  • Detail-oriented mindset, with a focus on accuracy, efficiency, and process standardization.

What the JD emphasized

  • AI Assistants
  • fine-tuning process for our AI tools
  • AI to instantly explain the "why" behind changes in our global metrics