Data Analyst, Zoox

• We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters
• Strong written and verbal communication skills, including the ability to explain insights to non-technical audiences
• Currently enrolled in a B.S. or M.S. program in a relevant discipline
• A collaborative, proactive approach and comfort working in a fast-moving environment
• Available to commit to a minimum three-month assignment
• Able to commit a minimum of 20 hours per week
• Able to work on-site at in Foster City CA
• Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations

Desirable

• Zoox's contract student worker program puts you at the center of one of the most ambitious challenges in transportation
• You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom
• As a Data Analyst supporting Zoox Operations, you will help define how we measure and improve the teams responsible for vehicle readiness, fleet response, base operations, infrastructure operations, and training
• You will translate complex operational workflows into trusted metrics, scalable data models, and clear dashboards
• Your work will give leaders greater visibility into operational performance and help teams identify opportunities to improve safety, quality, efficiency, and scalability
• Partner with Operations leaders to define meaningful performance metrics and reporting requirements
• Build and maintain data models, dashboards, and recurring reporting using SQL, Databricks, and Python
• Analyze operational performance, identify trends and root causes, and translate findings into actionable recommendations
• Establish data-quality checks and investigate gaps that could affect the accuracy or reliability of reporting
• Use AI to accelerate data exploration, code development, insight generation, and recurring reporting
• Prototype AI-enabled workflows that detect anomalies, summarize performance, automate business-review preparation, and surface actions for operational leaders
• Collaborate with Product, Engineering, and Data Science partners to improve underlying data sources and instrumentation
• Help establish metric ownership, targets, and sustainable reporting processes