Internship - Supply Chain Management

Infineon Technologies AG; Singapore; On-site; SGD 16,000 - 22,000; Part time

Job summary

Infineon Technologies AG offers an internship focused on supply chain automation, data integration, and analytics. You will collect data from multiple sources, build automation projects, and develop visualization platforms to enable data-driven decisions within the supply chain and semiconductor production context.

You will gain hands-on experience in digital transformation, AI applications, and cross-functional collaboration while supporting continuous process improvement.

Qualifications

• Pursue a Bachelor's Degree or Diploma in Supply Chain Management, Business Administration, Data Science, CS, or Engineering.
• Strong analytical and problem-solving abilities with attention to detail and the ability to interpret complex datasets.
• Work in a structured, proactive, and collaborative manner while managing multiple priorities effectively.
• Show curiosity and a strong interest in digital transformation, process improvement, data analytics, and AI applications.
• Bring familiarity with data analysis and visualization tools such as Tableau, Power BI, KNIME, or Microsoft Copilot.
• Communicate effectively in spoken and written English and collaborate confidently within a diverse team environment.
• Preferred period: Jan 2027 - May 2027.

Responsibilities

• Data Collection & Integration: Collect and connect data from various sources to support supply chain planning and business analysis.
• Automation Projects: Develop and implement automation projects in supply chain management to improve efficiency and effectiveness.
• Data Visualization: Develop, maintain, and enhance data visualization platforms to support operational and strategic decision-making.
• AI Application: Explore, learn, and apply AI tools to actual business use cases.
• Supply Chain Knowledge: Gain exposure to end-to-end supply chain, manufacturing, and semiconductor production processes.
• Digital Transformation Experience: Acquire practical experience in digital transformation, AI applications, and project execution within a supply chain context.
• Analytical Skills: Apply analytical and problem-solving skills to support process improvement and digitalization projects.
• Project Management & Collaboration: Develop project management and cross-functional collaboration skills through participation in transformation initiatives.

Skills

Data analysis

Data visualization

Automation

AI applications

Project management

Cross-functional collaboration

Problem solving

English communication

Education

Bachelor's degree or Diploma in Supply Chain Management, Business Administration, Data Science, Computer Science, Engineering

Tools

Tableau

Power BI

KNIME

Microsoft Copilot

Job description

You will work on supply chain automation projects by connecting data sources, implementing digitalization solutions, and developing data visualizations to drive business growth and improvement in supply chain management.

Your role

Key responsibilities in your new role

• Data Collection & Integration: Collect and connect data from various sources to support supply chain planning and business analysis.
• Automation Projects: Develop and implement automation projects in supply chain management to improve efficiency and effectiveness.
• Data Visualization: Develop, maintain, and enhance data visualization platforms to support operational and strategic decision-making.
• AI Application: Explore, learn, and apply AI tools to actual business use cases. Internship Learning Outcomes:
• Supply Chain Knowledge: Gain exposure to end-to-end supply chain, manufacturing, and semiconductor production processes.
• Digital Transformation Experience: Acquire practical experience in digital transformation, AI applications, and project execution within a supply chain context.
• Analytical Skills: Apply analytical and problem-solving skills to support process improvement and digitalization projects.
• Project Management & Collaboration: Develop project management and cross-functional collaboration skills through participation in transformation initiatives.

Your profile

Qualifications and skills to help you succeed

• Study Field: Pursue a Bachelor's Degree or Diploma in Supply Chain Management, Business Administration, Data Science, Computer Science, Engineering, or a related discipline
• Skills: Demonstrate strong analytical and problem-solving abilities with attention to detail and the ability to interpret complex datasets
• Work Style: Work in a structured, proactive, and collaborative manner while managing multiple priorities effectively
• Personality: Show curiosity and a strong interest in digital transformation, process improvement, data analytics, and AI applications
• Skills: Bring familiarity with data analysis and visualization tools such as Tableau, Power BI, KNIME, or Microsoft Copilot
• Language Skills: Communicate effectively in spoken and written English and collaborate confidently within a diverse team environment.
• Preferred period: Jan 2027 - May 2027

#WeAreIn for driving decarbonization and digitalization.As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.Are you in?

We are on a journey to create the best Infineon for everyone.

We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Please let your recruiter know if you need any accommodations during the interview process.

Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Lau Yu Qin