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

Role Overview 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. 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 Required Qualifications • Pursuing Bachelor's or Master's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field • Experience with operational, logistics, or fleet-related data is a plus • 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 • Familiarity with Databricks or similar analytics platforms is a plus Program Requirements • Construct live operational dashboards to visualize fleet health, downtime metrics, and operator efficiency metrics. • Currently enrolled in a B.S. or M.S. program in a relevant discipline. • Optimize database queries across NoSQL and SQL structures to ensure rapid retrieval of historical fleet data for weekly operational reviews. • Available to commit to a minimum three-month assignment. • Aggregate and analyze large sets of vehicle performance data to provide actionable recommendations for improving fleet utilization and reducing idle times. • Able to commit a minimum of 20 hours per week. • Cross-Functional Collaboration • Able to work on-site at one of our office locations. • Interface directly with L3 hardware and software engineering teams to ensure operational tools accurately reflect the latest autonomous system capabilities and constraints. • 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. • Gather feedback from on-the-ground fleet operators to continuously iterate and improve the UX/UI of internal tools.