Key Duties:
• Analyze engineering workflows, testing processes, and system performance to identify efficiency improvements and reduce variability.
• Develop and evaluate analytical models and simulations using MATLAB/Simulink to support process optimization and system validation.
• Support model based development and verification activities, including MIL, SIL, and HIL testing, to improve validation efficiency and reliability.
• Collect, analyze, and interpret test and diagnostic data to identify trends, root causes, and improvement opportunities.
• Coordinate and support test operations across laboratory, proving ground, and field environments, ensuring effective use of equipment and resources.
• Collaborate with cross functional engineering teams to translate analytical findings into process and system improvements.
• Develop standardized procedures, documentation, and reports to ensure consistency, traceability, and compliance with engineering standards.
• Conduct benchmarking and comparative analysis against internal targets and industry standards.
• Prepare technical reports and presentations for engineering stakeholders to support data driven decision making.

Minimum Requirements
• Bachelor's degree in Industrial Engineering, Mechanical Engineering, Automobile Engineering, or a related engineering discipline.
• Strong analytical, problem solving, and data analysis skills.
• Experience with engineering modeling, simulation, and data driven process improvement
• Minimum 3 years work experience

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