Internship - Data Engineering and Analyst (Unit Process Excellence)
Summary
Build analytics tools and dashboards in Python to detect operational abnormalities in semiconductor manufacturing sites.
The intern will be involved in a data analytics project and be responsible for assisting in developing in-house tools for the internal team to detect abnormality in operation.
Your RoleKey responsibilities in your new role
- Analytics Tool Development: Design and build analytics tools or dashboards for operational teams across backend sites.
- Data Analysis: Conduct data analysis projects using Python or other open-source tools for data processing.
- Data Integrity Validation: Validate data integrity for POC tools to ensure accuracy and reliability.
- Training & Support: Conduct training sessions on data concepts and specific tools for end users.
- Industry Best Practices: Explore and gain a deep understanding of industry best practices in the semiconductor manufacturing industry.
- Data Management & Reporting: Learn to manage large volumes of production data and design dashboards/tools for reporting.
- Education: Preferred fields of study include Data Science, Business Analytics, Computer Science, Information Systems, Electronic Engineering, or a related discipline.
- Commitment: Able to commit to a minimum internship duration of 4 months.
- Teamwork: A strong independent team player with good collaboration skills.
- Technical Skills: Familiarity with SQL, Python, and R is advantageous.
We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant's experience and skills.