Contract Student Worker - Data Analyst (20 hrs/wk)

Zoox•Seattle, WA

2d•Onsite

About The Position

We are seeking a Data Analyst to support the data systems and reporting that power our autonomous fleet operations. You'll transform vehicle telemetry, service logs, and operations data into clear insights that improve decision-making across operations, safety, and engineering teams. This role focuses on analytics, reporting, KPI development, and building accessible datasets and dashboards that help teams understand performance and drive improvements. Zoox's part-time 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. 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. We want to be transparent: this is not an internship. The Part-Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment.

Requirements

Pursuing Bachelor's or Master's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field
Strong proficiency in SQL for querying, data manipulation, and analysis
Experience with working with large datasets and transforming raw data into actionable insights
Currently enrolled in a B.S. or M.S. program in a relevant discipline.
Able to commit a minimum of 20 hours per week.
Able to work on-site at one of our office locations.
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.

Nice To Haves

Experience with operational, logistics, or fleet-related data is a plus
Proficiency in Python for data analysis and reporting preferred
Experience with data visualization tools (Looker, Tableau, or Power BI)
Familiarity with Databricks or similar analytics platforms is a plus
Available to commit to a minimum three-month assignment.

Responsibilities

Analyze vehicle telemetry, service logs, dispatch data, and operational metrics to identify trends and actionable insights
Build and maintain dashboards and recurring reports for fleet operations, safety, and engineering stakeholders
Define, track, and report on KPIs related to fleet performance, mission success, readiness, and operational efficiency
Ensure datasets used for analysis are accurate, well-structured, and reliable
Construct live operational dashboards to visualize fleet health, downtime metrics, and operator efficiency metrics.
Optimize database queries across NoSQL and SQL structures to ensure rapid retrieval of historical fleet data for weekly operational reviews.
Aggregate and analyze large sets of vehicle performance data to provide actionable recommendations for improving fleet utilization and reducing idle times.
Interface directly with L3 hardware and software engineering teams to ensure operational tools accurately reflect the latest autonomous system capabilities and constraints.
Gather feedback from on-the-ground fleet operators to continuously iterate and improve the UX/UI of internal tools.