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oracle

Manager, Data Analyst, Tech

Uber
Sydney, AUS
Full-time
Manager · 5+ years experience
Onsite
Discovered 1 weeks ago
pythonsql

Full Job Posting

Basic Qualifications

  • Bachelor's Degree in Math, Economics, Statistics, Computer Science, Engineering or related quantitative fields.
  • Minimum 5 years of experience in an analytics-focused role with a proven ability to extract insights from data and summarize key findings and takeaways.

Preferred Qualifications

  • Advanced degree in Math, Statistics, Economics, Computer Science, Engineering or other quantitative field.
  • Proficiency in programming languages such as Python, R, and SQL with proven ability to write and understand complex queries.
  • Experience working with data visualization and database tools.
  • Strong judgment, critical thinking and decision making skills with the ability to solve complex business problems spanning across functions and teams.
  • Excellent communication, cross-functional collaboration and stakeholder management skills with the ability to translate business objectives into technical solutions.

Responsibilities

  • Lead and mentor a global team of 8-12 insights analysts across multiple time zones, fostering a culture of ownership, analytical rigor, and continuous professional growth.
  • Architect scalable reporting and quality frameworks that improve visibility into performance, accuracy, and cost efficiency across distributed teams.
  • Partner cross-functionally with Product, Engineering, and Sales to build governed data pipelines and enhance analytics instrumentation for complex programs.
  • Serve as a subject matter expert in client-facing meetings, translating sophisticated analyses into a compelling storytelling narrative for C-level leadership.
  • Drive the analytics roadmap by identifying opportunities for "model-in-the-loop" labeling, active learning, and large-scale automated insights.
  • Lead Program Health and P&L reviews, challenging assumptions with data-driven evidence to increase operational efficiency and accelerate the revenue cycle.

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