Fleet Support Analyst
SHIFTS:
Fleet Support Analyst will actively engage in the operational uptime of our fleet. The primary responsibilities include the live troubleshooting of hardware/software-related issues, interfacing with operators, capturing the troubleshooting details in Jira and feeding this back to our Fleet Support Engineering team.
As a contract Fleet Support Analyst, you will make sure that the daily tasks are complete, meeting our Service Level Agreements (SLA s) and to Zoox standard. Additionally, you will be responsible for maintaining productivity, quality and safety standards during their designated shift.
Responsibilities:
Point of contact for real-time escalation of fleet issues
Perform initial diagnosis and troubleshooting: Leverage your knowledge of autonomous vehicle systems, robotics, and software to quickly analyze telemetry data, identify potential root causes, and implement preliminary diagnostic procedures.
Escalate unresolved issues and ensuring timely intervention by higher-level teams.
Document issue resolution processes: Capture detailed records of troubleshooting steps, findings, and solutions to inform future training and system improvements.
Analyze historical data and identify trends: Utilize data analytics tools to identify recurring issues, predict potential problems, and proactively implement preventive measures.
Communicate effectively and build trust: Collaborate seamlessly with diverse stakeholders, providing clear and concise updates to passengers, operators, engineers, and management teams.
Support on-call rotation with the possibility of days, swing and mid shift
Qualifications:
Minimum 2 years of experience in technical troubleshooting, ideally within the automotive or transportation industry.
Strong analytical and problem-solving skills with the ability to think critically under pressure.
Excellent communication and collaboration skills, able to effectively communicate complex technical information to both technical and non-technical audiences.
Demonstrated proficiency in data analysis and interpretation.
Ability to work independently and manage multiple tasks concurrently in a fast-paced environment.
Strong commitment to safety and adherence to strict quality standards.
Preferred Qualifications:
Experience with electric vehicle technology
Experience with remotely supporting vehicle troubleshooting
Hands-on experience with vehicle hardware
Experience with Linux & Python-based programming systems for fleet-level data processing
Experience with software that interfaces with hardware