Data Analyst (Contract Student Worker)

• 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

Benefits

• Paid parental leave

• Affinity groups and sports clubs

• Work from home opportunities

• Health insurance

• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away

• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside

• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes

• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description- 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

• Able to commit a minimum of 20 hours per week

• A collaborative, proactive approach and comfort working in a fast-moving environment

• Available to commit to a minimum three-month assignment

• 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

• Currently pursuing or recently completed a master’s degree in data science, business analytics, computer science, industrial engineering, operations research, statistics, economics, or a related field

• Strong SQL skills and experience analyzing complex datasets

• An AI-native analytical skill set, with demonstrated experience using LLMs, coding copilots, or AI-enabled analytics tools to accelerate data exploration, write and debug SQL or Python, automate reporting, and communicate insights

• Experience building dashboards or data visualizations using Databricks, Tableau, Looker, Power BI, or a similar platform

• Ability to translate ambiguous operational questions into structured analysis

• Currently enrolled in a B.S. or M.S. program in a relevant discipline

• Strong written and verbal communication skills, including the ability to explain insights to non-technical audiences