Data Analyst - Fleet Operations

About The Role Data Analyst – Fleet Operations & Analytics. The position is onsite in Foster City, CA, with a requirement of at least three days in the office. We are looking for a Data Analyst to support the data systems and reporting that power our autonomous fleet operations. The role focuses on transforming vehicle telemetry, service logs, dispatch data, and operational metrics into clear insights that improve decision‑making across operations, safety, and engineering teams. Responsibilities include analytics, reporting, KPI development, and building accessible datasets and dashboards that help teams understand performance and drive improvements. Key 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. 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. 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. Required Qualifications Education & Experience Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field. 3+ years of experience in data analysis, business intelligence, or analytics‑focused roles. Experience with operational, logistics, or fleet‑related data is a plus. Technical Skills Strong proficiency in SQL for querying, data manipulation, and analysis. Proficiency in Python for data analysis and reporting is preferred. Experience with data visualization tools such as 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. Core Competencies Strong analytical and problem‑solving skills with high attention to detail. Excellent communication skills and the ability to present insights clearly to varied audiences. Ability to work cross‑functionally with technical and non‑technical teams. Skilled at translating business questions into reporting and analytical solutions. Strong organizational skills with the ability to manage multiple priorities. Industry Experience Autonomous Vehicles / Fleet Operations Transportation & Logistics Operations Analytics Safety & Engineering Analytics #J-18808-Ljbffr O2 Technologies