Part-time Student Data Analyst

Job Title Part-time Student Data Analyst

Contract 20 hours a week

Duration 6 Months Location Onsite in Foster City, CA Start Date & End Date ASAP

Only will consider students in the SF Bay area and that can go onsite. 

Our Client in Foster City 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. 

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. 

Duties/Day to Day Overview Responsibilities: Data Analysis & Reporting 

● 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 Cross-Functional Collaboration 

● Partner with operations teams (fleet ops, safety, remote assist) to understand reporting needs and business questions

 ● Translate business needs into data insights and reporting solutions in close collaboration with engineering and product teams 

● Enable self-service analytics by creating well-documented datasets, reports, and dashboards

 ● Communicate findings clearly to both technical and non-technical stakeholders Operational Insights & Process Improvement 

● Identify inefficiencies, recurring issues, and performance gaps through data analysis 

● Support operational decision-making with timely, data-driven recommendations ● Help create structured feedback loops where operational learnings are captured, analyzed, and shared 

● Assist in automating recurring reporting and reducing manual efforts where possible Top Requirements 

(Must haves) 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. 

 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.