Sr Data Analyst, Tech

About the role and team

Working at Uber means solving hard problems in a high-stakes, fast-moving environment. As a Senior Data Analyst, you will sit at the intersection of massive datasets and critical business strategy, turning raw data into the insights that move our business forward. This is not just a reporting role; it is a high-visibility, "truth-seeking" position where you will be expected to navigate ambiguity and deliver actionable recommendations to senior leadership.

You will need to stay adaptable and resilient, balancing technical depth with the ability to tell a compelling story to non-technical stakeholders. Whether you are optimizing advertising performance, driving regional sales strategy, or improving global community operations, you will own your work end-to-end. If you are energized by the challenge of translating complex data into real-world impact and are motivated by the "messy" reality of a global marketplace, this is where you’ll grow.

Rate of Pay: $167,000 to $204,000 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

What you’ll do

• Develop data strategies, methods, tools, and insights to enable support teams to implement, evaluate, monitor, and improve customer support technology.
• Use a combination of data analysis and communications methodologies to interpret and present insights to drive strategic decisions.
• Transform complex data into clear narratives to answer key business questions and resonate with diverse audiences.
• Demonstrate leadership communication by framing data-driven recommendations to shape strategy and align cross-functional teams around shared goals.
• Build robust analytical frameworks and scalable data pipelines to empower analysts to perform deep dive investigations, uncover insights and enable analysis across teams.
• Drive global-first thinking by designing sustainable, standardized solutions to eliminate one-off or ad hoc processes and enable consistency across markets.
• Design product improvements and new features by leveraging user data to unlock trends and patterns to guide innovation and business growth.
• Demonstrate agility by managing urgent, high-priority tasks while ensuring solutions remain thoughtful, accurate, and aligned with business objectives.
• Build and maintain efficient data pipelines, ETL processes, and data products that ensure accuracy, scalability, and low maintenance across global teams.
• Empower analysts and partners through scalable frameworks, training, and tools that enhance analytical efficiency and consistency.
• Lead deep-dive analyses to uncover root causes of performance trends and identify actionable insights that guide strategy and operational improvements.
• May telecommute.
  

Basic Qualifications

• Employer will accept a Bachelor's degree in Economics, Business, Engineering, Operations Research, Communications, or related field, and three years of experience in the job offered or in a related occupation.
• Position requires three years in:
  • Performing scalable analysis using R or Python;
  • Database query languages including SQL;
  • A/B testing, or simulation techniques;
  • Debugging and monitoring for production services;
  • Data analysis or Machine Learning Systems;
  • Quantitative modeling, including machine learning models, time-series forecasting or causal impact analyses;
  • Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals;
  • Framing and communicating data-driven recommendations to align cross-functional teams and shape strategy;
  • Building and scaling analytical frameworks, tools, and training to empower global analysts and partners.