Data Analyst II, Tech

About the role and team

Working at Uber means solving hard problems in a high-stakes, fast-moving environment. As a Data Analyst II, you will help drive the analysis behind company-wide decisions related to our support experience and build scalable tools that enable stakeholders to act upon insights. You will need to take ownership, stay adaptable, and build with both urgency and care in an environment where the pace is intense and the stakes are high.

This role is for someone sharp, steady, and motivated by meaningful service at scale. You will turn complexity into clarity at speed, navigate competing priorities, and lead through influence, not control. If you are energized by challenge and motivated by real-world impact-this is where you will grow.

Rate of Pay: $141,773 to $170,127 per Year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

What you’ll do

• Drive in-depth financial analysis to ensure the accuracy and relevance of key metrics, aligning them with the Financial Operations Team.
• Tackle ambiguous problems to uncover business value with minimal oversight.
• Effectively communicate the "so-what" of an analysis, illustrating how insights can be leveraged to drive business impact across the organization.
• Address complex, ambiguous business challenges by developing clear, consistent, and actionable metrics that provide transparency and track business performance at the highest levels.
• Foster a culture of high-standard data practices, enhancing the analytical capabilities of the Finance Operations Team.
• Design, build, and maintain sophisticated dashboards and KPIs, providing the Finance Team with real-time insights into the company's financial health and strategic performance.
• May telecommute.

Basic Qualifications

• Employer will accept a Master's degree in Data Science, Business Analytics, or related field and 6 years of experience in the job offered or in a related occupation.
• Position requires:
  • Transforming data into business insights using Tableau;
  • Performing scalable analysis using R or Python;
  • Database query languages including SQL;
  • Debugging and monitoring for production services;
  • Data analysis to impact financial strategies;
  • Ensuring data integrity and accessibility;
  • Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals;
  • Program/project management.