O2 Technologies,Inc
Fleet Operations Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fleet Operations Data Analyst in Foster City, CA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python (Pandas), and data visualization tools. Requires 3-5 years of data analysis experience and a relevant degree. Industry experience in autonomous vehicles or fleet management is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Redwood City, CA
-
🧠 - Skills detailed
#Datasets #Databricks #Monitoring #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Strategy #Pandas #Data Extraction #Mathematics #Microsoft Power BI #Statistics #Leadership #Data Processing #Data Analysis #Python #Tableau #Data Accuracy #Looker #BI (Business Intelligence) #Computer Science #Data Science #Data Cleaning #ML (Machine Learning) #Visualization
Role description
About The Role
Fleet Operations Data Analyst
Onsite in Foster City, CA | at least 3 days in office
At Zoox, we're building the future of autonomous transportation, and data is at the heart of our mission. As
a Fleet Operations Data Analyst, 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.
Key Responsibilities
• Data Analysis & Reporting: Analyze fleet performance and operational data, uncover trends, and
provide insights to improve fleet management and service efficiency. Create and maintain interactive
dashboards that track key performance indicators (KPIs) and operational metrics in real-time.
• Collaboration with Fleet Operations Teams: Work closely with Fleet Operations Managers to
understand operational challenges, identify areas for improvement, and ensure data-driven
decision-making is embedded in the day-to-day operations of Zoox's autonomous fleet.
• Data Processing & Cleanliness: Use SQL and Pandas to clean, process, and manipulate large datasets
to ensure the accuracy and consistency of data used in analysis.
• Visualization & Insights: Develop clear, concise visualizations and dashboards in Looker and
Databricks to support operational decision-making. Ensure that these tools provide actionable insights
for fleet managers, leadership, and other stakeholders.
• Operational Efficiency & Optimization: Identify patterns and inefficiencies in fleet operations, and
propose data-driven solutions to improve fleet utilization, optimize maintenance schedules, and
enhance overall operational performance.
• Ad-Hoc Analysis: Respond to ad-hoc analytical requests, performing targeted analyses to help answer
key business questions or evaluate the impact of potential changes in fleet operations or strategy.
Qualifications
• Education: Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or
a related field.
• Experience:
• 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.
• Skills & Competencies:
• Strong analytical mindset with a passion for problem-solving and driving operational improvements.
• Excellent communication skills, with the ability to explain technical concepts to a diverse, non-technical
audience.
• Ability to translate complex data into clear, actionable insights for a non-technical audience.
• Attention to detail and a commitment to ensuring data accuracy.
Bonus 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.
Key Responsibilities & Skills
• Fleet Operations Analysis
• Operational Efficiency Optimization
• KPI Development & Monitoring
• Data-Driven Decision Support
• Fleet Utilization & Maintenance Planning
• Real-time Dashboard Development
• Ad-Hoc Analytical Support
• Stakeholder Communication & Insight Translation
• Autonomous Vehicle Fleet Management Knowledge
Technical Skills
• SQL
• Python / Pandas
• Looker / Tableau / Power BI / Databricks
• Data Visualization & Dashboarding
• Data Cleaning & ETL
• Machine Learning (Predictive Analytics)
Education
Bachelor's Degree in Data Science, Statistics, Computer Science, Engineering, Mathematics. Preferred: Master's in Data Science, Master's in Statistics, Master's in Computer Science, MBA.
Industry Experience
• Autonomous Vehicles
• Transportation / Mobility
• Fleet Management
• Technology / Robotics
• Logistics
• Mobility-as-a-Service
#JoinOurTeam #NowHiring #ApplyToday
About The Role
Fleet Operations Data Analyst
Onsite in Foster City, CA | at least 3 days in office
At Zoox, we're building the future of autonomous transportation, and data is at the heart of our mission. As
a Fleet Operations Data Analyst, 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.
Key Responsibilities
• Data Analysis & Reporting: Analyze fleet performance and operational data, uncover trends, and
provide insights to improve fleet management and service efficiency. Create and maintain interactive
dashboards that track key performance indicators (KPIs) and operational metrics in real-time.
• Collaboration with Fleet Operations Teams: Work closely with Fleet Operations Managers to
understand operational challenges, identify areas for improvement, and ensure data-driven
decision-making is embedded in the day-to-day operations of Zoox's autonomous fleet.
• Data Processing & Cleanliness: Use SQL and Pandas to clean, process, and manipulate large datasets
to ensure the accuracy and consistency of data used in analysis.
• Visualization & Insights: Develop clear, concise visualizations and dashboards in Looker and
Databricks to support operational decision-making. Ensure that these tools provide actionable insights
for fleet managers, leadership, and other stakeholders.
• Operational Efficiency & Optimization: Identify patterns and inefficiencies in fleet operations, and
propose data-driven solutions to improve fleet utilization, optimize maintenance schedules, and
enhance overall operational performance.
• Ad-Hoc Analysis: Respond to ad-hoc analytical requests, performing targeted analyses to help answer
key business questions or evaluate the impact of potential changes in fleet operations or strategy.
Qualifications
• Education: Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or
a related field.
• Experience:
• 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.
• Skills & Competencies:
• Strong analytical mindset with a passion for problem-solving and driving operational improvements.
• Excellent communication skills, with the ability to explain technical concepts to a diverse, non-technical
audience.
• Ability to translate complex data into clear, actionable insights for a non-technical audience.
• Attention to detail and a commitment to ensuring data accuracy.
Bonus 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.
Key Responsibilities & Skills
• Fleet Operations Analysis
• Operational Efficiency Optimization
• KPI Development & Monitoring
• Data-Driven Decision Support
• Fleet Utilization & Maintenance Planning
• Real-time Dashboard Development
• Ad-Hoc Analytical Support
• Stakeholder Communication & Insight Translation
• Autonomous Vehicle Fleet Management Knowledge
Technical Skills
• SQL
• Python / Pandas
• Looker / Tableau / Power BI / Databricks
• Data Visualization & Dashboarding
• Data Cleaning & ETL
• Machine Learning (Predictive Analytics)
Education
Bachelor's Degree in Data Science, Statistics, Computer Science, Engineering, Mathematics. Preferred: Master's in Data Science, Master's in Statistics, Master's in Computer Science, MBA.
Industry Experience
• Autonomous Vehicles
• Transportation / Mobility
• Fleet Management
• Technology / Robotics
• Logistics
• Mobility-as-a-Service
#JoinOurTeam #NowHiring #ApplyToday
