Volvo Off Campus Drive 2026 – Graduate Apprentice Trainee

Volvo Off Campus Drive 2026 – Details:

Detailed Eligibility:

Graduate Apprentice Trainee:

Education & Qualifications:

• Bachelor of Engineering (BE) in Mechanical Engineering/Industrial engineering
• Any projects related to data analytics, visualization, or process automation will be an added benefit.

Power Automate:

• Ability to analyze and interpret data for effective decision-making.

Key Skills:

• Lean management
• Strong data analytical skills related to visualization tools (Power BI, PowerApps, etc.).
• Good communication skills and teamwork capabilities.
• Proficiency in MS Office tools, including SharePoint, PowerPoint, Excel, Word, Power BI, PowerApps, and Power Automate.
• Ability to analyze and interpret data for effective decision-making.

Roles & Responsibilities:

• Deploy digital team board across organization
• Deploy Cost deployment and other lean management tools at shop floor
• Drive CIMP and PS methodology across organization
• Assist in the development and visualization of dashboards using Power BI and other tools.
• Support warehouse operations through data analytics and reporting.
• Work on process automation using PowerApps and Power Automate.
• Collaborate with cross-functional teams to enhance efficiency in warehouse operations.
• Ensure data accuracy and maintain reports for decision-making.
• Assist in process improvement initiatives within the warehouse.

Job Summary:

• The Graduate Apprentice Trainee will support warehouse operations & Lean management activities with a focus on data analysis, visualization, and process improvements. The role requires lean management skills and strong analytical mindset and technical skills in Power BI, PowerApps, and other visualization tools.

• Bachelor of Engineering (BE) in Mechanical Engineering/Industrial engineering
• Any projects related to data analytics, visualization, or process automation will be an added benefit.
• Ability to analyze and interpret data for effective decision-making.
• Lean management
• Strong data analytical skills related to visualization tools (Power BI, PowerApps, etc.).
• Good communication skills and teamwork capabilities.
• Proficiency in MS Office tools, including SharePoint, PowerPoint, Excel, Word, Power BI, PowerApps, and Power Automate.
• Ability to analyze and interpret data for effective decision-making.