Systems Engineer (Data Analytics - Automotive)

Requisition Summary:

PACCAR India is looking for a skilled Systems Engineer to support vehicle testing and validation activities through data analytics. The role involves analysing vehicle data, generating actionable insights, and enabling data-driven engineering decisions to enhance vehicle performance.

At PACCAR, you'll be part of a purpose-driven organization known for engineering excellence, innovation, and a strong commitment to employee growth and well-being. We foster a collaborative, inclusive environment where your ideas are valued, your contributions make a real difference, and your career can thrive as you help build world-class products that power the future of transportation.

Job Function / Responsibilities:

• Independently execute vehicle data analysis and engineering investigations by evaluating test, field, and customer vehicle datasets to support system development, validation, and product improvement activities.
• Design and develop analytical solutions, dashboards, reports, and performance assessment methodologies that transform complex vehicle and test data into actionable engineering insights.
• Solve technical problems through data-driven analysis, identifying trends, anomalies, performance issues, and interface-related concerns while supporting root-cause investigations and corrective actions.
• Own assigned analytical work packages from requirements understanding through execution, validation, reporting, and stakeholder review, ensuring timely and high-quality deliverables.
• Deliver project objectives and engineering milestones by providing accurate data analysis, performance evaluations, and technical recommendations that support product development and decision-making.
• Collaborate effectively with cross-functional teams, including systems, controls, software, validation, testing, and business stakeholders, to define analytical requirements, align expectations, and resolve technical challenges.
• Drive process improvement initiatives by enhancing data analysis workflows, reporting methods, visualization techniques, and analytical tools to improve efficiency, consistency, and decision quality.
• Demonstrate accountability for technical outcomes by ensuring data accuracy, maintaining analysis traceability, proactively communicating risks and findings, and supporting informed engineering decisions throughout the product lifecycle.

Qualification:

• Bachelors/Masters degree in Computer Science / Data Science / Mechatronics / IT or related field

Required Skills:

• Technical / Professional Experience Requirements: 3 to 6 Years

• Primary Skills

• Ability to collect, process, and analyze data to identify trends, generate insights, and support data-driven decision-making.

• Expertise in data visualization, transforming complex datasets into clear, interactive, and actionable visual reports and dashboards.

• Strong understanding of database concepts, data modeling, normalization, querying, and data management principles.

• Proficiency in developing interactive dashboards, reports, and business intelligence solutions using Microsoft Power BI.

• Experience using Python for data analysis, automation, scripting, and analytical model development.

• Knowledge of MATLAB for data processing, algorithm development, modeling, simulation, and engineering analysis.

• MySQL & Advanced Excel

• Technical / Professional Experience Desired:

• Experience in analyzing and interpreting test, measurement, and vehicle data signals to support troubleshooting, performance assessment, and engineering decisions.

• Proficiency in R programming for data analysis, statistical evaluation, visualization, and automated reporting of engineering data.

• Familiarity basic vehicle systems with key vehicle domains, including powertrain, chassis, electrical/electronic, thermal, and body systems, and their interactions.

• Knowledge of AI/ML techniques for data analysis, predictive modeling, pattern recognition, and intelligent system development.

• Understanding of LLM technologies, prompt engineering, generative AI applications, and their integration into engineering and business solutions.

• Ability to design and evaluate scalable, maintainable, and modular software systems aligned with functional and non-functional requirements

Competencies and Behaviours:

• Strong analytical and structured problem-solving skills.
• Effective verbal and written communication skills.
• Ability to collaborate effectively with global cross-functional teams.
• Structured approach to troubleshooting and issue resolution.
• Ability to manage assigned priorities and deliverables effectively.
• Ownership and continuous improvement mindset.

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