Strategy and Operations Manager, Marketplace

Uber Uber · Consumer · Sydney, Australia · Operations

Strategy and Operations Manager for Uber's Marketplace team in ANZ, focusing on driver incentives and reliability. The role involves using data and analytical techniques to frame problems, build hypotheses, design experiments, and develop analytical models to solve complex supply and demand challenges. It requires partnering with global teams to translate insights into scalable strategies and owning high-impact initiatives.

What you'd actually do

  1. Take full ownership of driver incentives and reliability across the ANZ region, driving marketplace health decisions through data-informed decision making.
  2. Design, execute, and optimise driver incentive programs using rigorous analysis and experimentation.
  3. Develop and maintain analytical frameworks and machine learning models to diagnose marketplace dynamics, including supply elasticity, driver behaviour, and demand patterns.
  4. Own governance, reporting, and performance tracking of key marketplace and reliability metrics for senior business leadership
  5. Partner closely with Global Product, Operations, Data Science, Marketing, and Finance to test, launch, and scale new marketplace tools, models, and policies

Skills

Required

  • 3+ years of experience in investment banking, data analytics, data science or a high growth strategy/consulting role.
  • Strong analytical and problem solving skills, with the ability to structure ambiguous problems and apply data driven approaches to solve them
  • Proficiency in SQL and Excel, with experience using data to extract insights from large and complex datasets
  • Experience with Python, R, or similar tools for data analysis or modelling
  • Experience with experimentation and interpreting results to inform business decision making
  • Familiarity with statistical methods or predictive modelling approaches
  • Strong business judgement, with the ability to translate analytical insights into practical, high impact actions
  • Excellent communication and stakeholder management skills, with the ability to influence senior leaders and align cross functional teams
  • Self starter with an entrepreneurial mindset, comfortable operating with high autonomy and delivering results in a fast paced environment

What the JD emphasized

  • machine learning models