

O2 Technologies,Inc
Data Analyst – Fleet Operations
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst – Fleet Operations, onsite in Foster City, CA for 3+ years. Pay rate is competitive. Requires a Bachelor's degree, 3+ years in data analysis, SQL, Python, and experience in fleet operations or logistics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 28, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Redwood City, CA
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🧠 - Skills detailed
#Datasets #Python #BI (Business Intelligence) #Data Science #Mathematics #Data Manipulation #Looker #Tableau #Computer Science #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Analysis #Statistics #Visualization #Databricks #Data Quality #Microsoft Power BI
Role description
About The Role
Data Analyst - Fleet Operations & Analytics
Onsite in Foster City, CA | at least 3 days in office
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.
Key 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
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 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
Core Competencies
• Strong analytical and problem-solving skills with high attention to detail
• Excellent communication skills with 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 ability to manage multiple priorities
Key Responsibilities & Skills
• Vehicle Telemetry Analysis
• Fleet Operations Analytics
• KPI Development & Tracking
• Dashboard Design & Reporting
• Data Quality & Dataset Management
• Cross-Functional Collaboration
• Operational Insight Generation
• Process Improvement & Efficiency Identification
• Self-Service Analytics Enablement
• Business Requirements Translation
• Operational Decision Support
• Automated Reporting Solutions
Technical Skills
• SQL (Querying & Data Manipulation)
• Python (Data Analysis)
• Looker / Tableau / Power BI (Data Visualization)
• Databricks (Analytics Platform)
• Large Dataset Management
• Data Transformation & ETL
Education
Bachelor's Degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Data Science. Preferred: Master's in Data Science, Master's in Business Analytics, MBA (Analytics).
Industry Experience
• Autonomous Vehicles / Fleet Operations
• Transportation & Logistics
• Operations Analytics
• Safety & Engineering Analytics
#CareerOpportunities #JobVacancy #WorkWithUs
About The Role
Data Analyst - Fleet Operations & Analytics
Onsite in Foster City, CA | at least 3 days in office
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.
Key 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
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 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
Core Competencies
• Strong analytical and problem-solving skills with high attention to detail
• Excellent communication skills with 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 ability to manage multiple priorities
Key Responsibilities & Skills
• Vehicle Telemetry Analysis
• Fleet Operations Analytics
• KPI Development & Tracking
• Dashboard Design & Reporting
• Data Quality & Dataset Management
• Cross-Functional Collaboration
• Operational Insight Generation
• Process Improvement & Efficiency Identification
• Self-Service Analytics Enablement
• Business Requirements Translation
• Operational Decision Support
• Automated Reporting Solutions
Technical Skills
• SQL (Querying & Data Manipulation)
• Python (Data Analysis)
• Looker / Tableau / Power BI (Data Visualization)
• Databricks (Analytics Platform)
• Large Dataset Management
• Data Transformation & ETL
Education
Bachelor's Degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Data Science. Preferred: Master's in Data Science, Master's in Business Analytics, MBA (Analytics).
Industry Experience
• Autonomous Vehicles / Fleet Operations
• Transportation & Logistics
• Operations Analytics
• Safety & Engineering Analytics
#CareerOpportunities #JobVacancy #WorkWithUs





