Data Analyst I, Tech - Data

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About the role and team

Working at Uber means solving hard problems in a high-stakes, fast-moving environment. As a Data Analyst, you will help drive the analysis behind critical decisions related to operations, process, and optimizations. You will turn unstructured problems with lots of ambiguity into focused plans of execution, creating analytical frameworks to support new initiatives and products.

This role requires you to be a big-picture thinker and strategic partner who can move with urgency and care. You'll need to take ownership of your work, stay adaptable through constant change, and demonstrate resilience when navigating the messy reality of doing big things at scale. If you are energized by challenge and motivated by real-world impact, this is where you will grow.

What you'll do

Perform deep-dive analyses on large datasets to unpack insights and recommend solutions to complex business problems.

Build and maintain data products, such as dashboards and automated reports, to ensure teams have a 360° view of critical decision-making dimensions.

Translate ambiguous questions into data-driven recommendations, communicating complex technical concepts in a simple and concise manner to senior leadership.

Collaborate cross-functionally with Engineering, Product, and Operations teams to build analytics solutions and drive operational efficiency.

Own the data validation and quality assurance process, ensuring that all technical output is thorough and meets high standards for accuracy.

Navigate shifting priorities and technical debt while identifying patterns to improve existing processes and help the business move forward.

Basic Qualifications

Bachelor's Degree in Computer Science, Economics, Engineering or related field

Minimum of 1 year of technical experience in a data-focused role, such as business analytics and intelligence or data science and engineering

SQL proficiency with proven ability to write and understand complex queries

Preferred Qualifications

Intermediate SQL skills.

High technical proficiency in common analytics & reporting tools (e.g., Tableau, Google Data Studio, Google Sheets/Excel).

Experience in Python

Experience working with customer support or customer insights.

Advanced data analysis skills leading to actionable recommendations.

Experience in leading high-visibility projects and influencing others in a cross-functional team environment

Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences

Strong sense of ownership and accountability

Curious, self-directed, and impact-driven-you chase high-impact problems to deliver solutions.

Comfortable with ambiguity and switching contexts in a fast-moving environment

Experience in communicating with and presenting to senior leader.

Strong storytelling ability:Distilling exciting and hard-to-find insights into a compelling, concise data story.

Comfort in working with ambiguity in a fast-paced environment

Experience in data extraction, wrangling, and building pipelines.

Strong analytical and problem-solving mindset

Highly self-motivated, proactive, and able to drive projects independently.

Excellent communication and interpersonal skills.

Detail-oriented mindset, with a focus on accuracy, efficiency, and process standardization.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.