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.