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Lead Data Analyst - Global Strategy Analytics

Uber

Salary not specified
Sep 27, 2025
San Francisco, CA, USA • New York, NY, USA
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Uber's Global Strategy Analytics team needs a Lead Data Analyst to provide top-quality business performance reporting, targets, and analysis to enable Uber’s Community Operations (CommOps) to make strategic, data-driven decisions and answer critical business questions.

Requirements

  • Advanced SQL skills
  • Experience with Tableau and/or a similar data visualization tool
  • 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 data extraction, wrangling, and building pipelines.
  • Strong analytical and problem-solving mindset

Responsibilities

  • Lead CommOps’ Monthly Business Review Insights generation program for our Delivery business.
  • Perform deep-dive analysis to unpack insights and recommend solutions to business problems.
  • Translate ambiguous questions into data-driven recommendations.
  • Develop an in-depth understanding of business performance and share strategic insights with senior leadership to influence decision-making.
  • Write complex SQL queries to extract, manipulate, and analyze data.
  • Identify, plan, and execute projects and root cause analyses to improve existing processes.
  • Help uplevel the skillsets of more junior analysts on the team

Other

  • 7 + years of work experience in data analytics, finance analytics, business analytics, or within a similar field
  • Develop executive-level communications and presentations for senior leadership.
  • Experience in leading high-visibility projects and influencing others in a cross-functional team environment
  • Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences
  • Strong storytelling ability:Distilling exciting and hard-to-find insights into a compelling, concise data story.