Data Analyst I, Tech

Data Analyst I, Tech at Uber Technologies, Inc. is a full-time, onsite role in San Francisco, California, focusing on analytics and reporting for autonomous vehicle customer support. The position offers a salary range of USD 113,000 to 138,000 per year and may include bonuses and other compensation.

Responsibilities

• Collaborate with Customer Support, Engineering, and Product teams to gather and clarify analytics and reporting needs related to autonomous vehicle customer support.
• Lead discovery and gap analysis to evaluate current analytics coverage, data availability, and reporting workflows, identifying opportunities for improvement.
• Document detailed business requirements, data requirements, metric definitions, and reporting specifications for dashboards, reports, and analytics tools.
• Translate business and analytics requirements into data solution specifications, defining data structures, context, and usage to support customer support quality measurement.
• Map data from source to target to design and implement new data models and data pipelines.
• Support the design and development of scalable analytics solutions by ensuring alignment between business intent and technical implementation.
• Participate in user acceptance testing and data validation to ensure new data products meet functional requirements and data quality standards.
• Maintain and update documentation for data sources, metric definitions, reporting logic, and data lineage to support long-term scalability and maintainability.
• Serve as a liaison between technical and non-technical stakeholders to align goals, priorities, dependencies, and delivery timelines.
• Contribute to the ongoing improvement of data analytics infrastructure, data processes, and reporting workflows supporting autonomous vehicle customer support.

Requirements

• A Bachelor's degree in Data Science, Computer Science, Information Science, Information Systems, Statistics, Engineering, Analytics, or a related field.
• Two years of experience in the job offered or in a related occupation.
• Ability to translate complex customer support and product workflows in autonomous vehicle, ride-sharing, and delivery ecosystems into precise data, analytics, and reporting requirements to support operational and customer experience decisions.
• Experience conducting end-to-end discovery, process mapping, and source-to-target data mapping across multiple systems to design scalable, auditable data models and analytics pipelines.
• Proficiency in SQL for querying, reconciling, and validating large-scale structured and semi-structured datasets, including identifying and resolving data quality issues in production analytics environments.
• Experience performing scalable, repeatable data analysis using Python or R to build reusable analytical frameworks.
• Experience designing, executing, and interpreting A/B tests, simulations, or causal analyses to evaluate the impact of changes in customer support environments.
• Knowledge of autonomous vehicle technology and real-world customer support operations in transportation, ride-sharing, or food and grocery delivery contexts, including service quality and operational efficiency.
• Experience building and maintaining self-service dashboards and analytics using Tableau or Looker.
• Ability to validate, monitor, and debug analytics outputs in production by tracing issues across upstream data sources, transformation logic, and reporting layers.

Technologies

• SQL
• Python
• R
• Tableau
• Looker

Benefits

• Bonus program eligibility
• Other compensation types
• Eligibility for various benefits
• Bonuses
• Equity

Ready to Ride

This role emphasizes impact and problem solving. If you are driven by measurable outcomes and energized by challenge, this is an opportunity to help shape how the world moves.