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Data Analyst II, Tech

Uber

$135,000 - $150,000
Sep 19, 2025
San Francisco, CA, US
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The Public Safety team is looking for a Data Analyst to solve critical business questions and drive data-driven decisions that will influence company-wide initiatives. The role aims to uncover insights and implement solutions to propel strategic direction.

Requirements

  • Experience with Tableau and/or a similar data visualization tool
  • Experience with SQL
  • Advanced 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 data extraction, wrangling, and building pipelines.

Responsibilities

  • Perform deep-dive analysis to unpack insights and recommend solutions to business problems.
  • Create and implement various analytics projects to inform strategy with company leadership, including the development of reports, dashboards, and scripts/automations.
  • Write complex SQL queries to extract, manipulate, and analyze data.
  • Use Python for data transformation, automation, and model development.
  • Identify, plan, and execute projects and root cause analyses to improve existing processes.
  • Develop executive-level communications and presentations for senior leadership.
  • Experience in data extraction, wrangling, and building pipelines.

Other

  • 4+ years of work experience in finance analytics, data analytics, or within a similar field
  • Collaborate cross-functionally with Product, Operations, and Finance teams to implement recommendations and drive operational efficiency.
  • Potentially lead junior analysts and play a leadership role in developing and standardizing analytical tools, frameworks, and processes.
  • 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.