Associate Engineer (Data Analytics)
Apply now »Date: Aug 7, 2026
Location: Pune, IN
Company: PACCAR
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.
Job Segment:
Statistics, Engineer, Analytics, Database, Data Analyst, Data, Engineering, Management, Technology