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Fleet Operations Data Analyst

Job in San Mateo, San Mateo County, California, 94404, USA
Listing for: Artech LLC
Full Time position
Listed on 2026-07-11
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis
Job Description & How to Apply Below
Introduction

At our company, we're building the future of autonomous transportation, and data is at the heart of our mission. You will work alongside Fleet Operations Managers to help harness the power of data to optimize the performance and efficiency of our autonomous vehicle fleet. You will be responsible for analyzing operational data, developing dashboards, and providing actionable insights that will drive strategic decisions and improve fleet readiness, safety, and service delivery.

Your proficiency in SQL, Python (Pandas), and data visualization tools like Looker, Tableau, Databricks, and/or Power BI will be essential as you help transform raw data into meaningful insights that accelerate operational efficiency.

Required

Skills & Qualifications
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
  • 3-5 years of experience in data analysis.
  • Strong proficiency in SQL for data extraction, transformation, and analysis.
  • Proficiency with Python and Pandas for data cleaning, manipulation, and analysis.
  • Experience creating and maintaining dashboards with tools like Looker, Tableau, Power BI, or similar visualization tools.
  • Applicants must be able to work directly for Artech on W2.
Preferred

Skills & Qualifications
  • Familiarity with machine learning or predictive analytics techniques to anticipate operational needs.
  • Knowledge of autonomous vehicle operations and fleet management best practices is a plus.
Day-to-Day Responsibilities
  • Analyze fleet performance and operational data, uncover trends, and provide insights to improve fleet management and service efficiency.
  • Work closely with Fleet Operations Managers to understand operational challenges, identify areas for improvement, and ensure data-driven decision-making is embedded in day-to-day operations.
  • Develop clear, concise visualizations and dashboards in Looker and Databricks to support operational decision-making.

For immediate consideration, please click APPLY to begin the screening process with Alex.

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