PACCAR

Associate Engineer (Data Analytics)

PACCAR · pune, Maharashtra, India

Technology, Information and Internet · 201-500 employees

14 h ago
Mid (2-5 yrs) Full-time India
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About the role

Analyze vehicle fleet and test data to identify trends, performance characteristics, and anomalies. Collaborate with cross-functional stakeholders to develop data-driven insights and recommendations for vehicle engineering.

What they look for

Data analysis Vehicle data interpretation Statistical analysis Engineering analytics MATLAB Python R Vehicle testing fundamentals Problem-solving Signal analysis Data-driven insights Communication skills

Requirements

Requires a Bachelor's degree in Computer Science, Mechanical, or Automobile Engineering. Candidates should have 1 to 3 years of experience in automotive data analytics.

Benefits

Employee growth Well-being support

Full description

Requisition Summary:

PACCAR India is looking for a skilled Associate Engineer (Data Analytics) to join its dynamic team in Pune. The role involves supporting vehicle engineering activities by transforming vehicle telemetry and test data into actionable insights that enable data-driven engineering decisions and product improvements.

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:

  • Analyse vehicle fleet and test data to identify trends, performance characteristics, and anomalies.
  • Perform signal analysis and data interpretation to evaluate vehicle and component behaviour.
  • Develop data-driven insights and recommendations to support vehicle engineering and testing activities.
  • Collaborate with cross-functional stakeholders to understand analysis requirements and communicate findings

Qualification:

  • Bachelor’s degree in Computer Science / Mechanical / Automobile Engineering or related field

Required Skills:

Technical / Professional Experience Requirements: 1 to 3 Years

Domain Knowledge: Automotive – Data Analytics

Primary Skills: Data analysis, Vehicle data interpretation, Statistical analysis, Engineering analytics.

Secondary Skills: MATLAB, Python, R., Vehicle testing fundamentals.

Certifications: AI and Machine Learning certifications are added advantages

COMPETENCIES AND BEHAVIORS:

  • Strong analytical and problem-solving skills.
  • Ability to interpret complex datasets and derive engineering insights.
  • Effective verbal and written communication skills.
  • Ability to work collaboratively with global stakeholders.