Industry 4.0 Data Analytics Intern

Infineon Technologies; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

Infineon Technologies is seeking a motivated intern to contribute to Autonomous Factory and Industry 4.0 initiatives in Singapore. You will collaborate with engineers to analyze manufacturing data, build AI-enabled dashboards, and support digital transformation projects that drive smarter operations.

You will gain hands-on experience with data analytics tools, Python, SQL, and visualization platforms while working with a global, diverse team on real-world Industrial Engineering challenges.

Qualifications

• Pursuing a Bachelor's degree in a relevant engineering or information science field.
• Strong analytical and problem-solving skills with data-driven mindset.
• Effective communication, teamwork, and presentation abilities.
• Willingness to learn and adapt in a fast-changing environment.
• Interest in Industry 4.0, digital transformation, and analytics.

Responsibilities

• Collaborate with Industrial Engineering and manufacturing experts to design data-driven solutions.
• Analyze large-scale production data to uncover insights and support advanced analytics projects.
• Enhance data collection, integration, visualization, and reporting for faster decision-making.
• Support project planning, execution, and stakeholder coordination for digital transformation.
• Present updates, findings and recommendations to engineering teams and management.

Skills

Data analytics

Python

SQL

Power BI

Excel

Communication

Team collaboration

Problem solving

Education

Bachelor's degree in Computer Science, Industrial Engineering, Data Science, Information Systems, or related Engineering discipline

Tools

Python

SQL

Power BI

Tableau

Excel

Job description

Infineon Technologies is seeking a motivated intern to contribute to Autonomous Factory and Industry 4.0 initiatives in Singapore. You will collaborate with engineers to analyze manufacturing data, build AI-enabled dashboards, and support digital transformation projects that drive smarter operations.

You will gain hands-on experience with data analytics tools, Python, SQL, and visualization platforms while working with a global, diverse team on real-world Industrial Engineering challenges.