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

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.

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; 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

Requirements

Pursuing Bachelor's or Master's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field; Currently enrolled in a B.S. or M.S. program in a relevant discipline; Strong proficiency in SQL for querying, data manipulation, and analysis; Proficiency in Python for data analysis and reporting preferred; Experience with data visualization tools (Looker, Tableau, or Power BI); Experience working with large datasets and transforming raw data into actionable insights; Experience with operational, logistics, or fleet-related data is a plus; Familiarity with Databricks or similar analytics platforms is a plus; Optimize database queries across NoSQL and SQL structures to ensure rapid retrieval of historical fleet data; 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 one of our office locations

Nice to have

Experience with operational, logistics, or fleet-related data; Familiarity with Databricks or similar analytics platforms; Proficiency in Python for data analysis and reporting