Internship - Master Data Analyst

The student, as part of the Master Data team will assist the HoD / Digitalisation Team Lead in running departmental digitalisation transformation projects, including but not limited to the implementation of AI agents for supply chain & analytical use cases, data centralisation development as well as research-based work.

Your Role

Key responsibilities in your new role

• Prototype an AI agent to analyze supply chain datasets, detect anomalies/data quality issues, and assist with root-cause and resolution workflows under mentorship from senior engineers.
• Create unified data views (via a virtualized/semantic layer) that centralize data objects from multiple enterprise systems and databases into a single, governed source for consistent, self-service analytics.
• Assist project lead in implementing Rule Based Management System in Infineon’s Global Master Data applications by defining maintenance processes, validation/derivation rules, and approval workflows; validate results and track issues in Jira/Octane.
• Conduct supply chain and Product Master Data analysis by profiling large datasets with SQL/Python (Pandas) and Excel to assess completeness, consistency, uniqueness, and accuracy; produce profiling reports that highlight issues such as missing attributes, duplicate products, and inconsistent routes.
• Contribute to internal communications and engagement activities tied to departmental digital transformation projects as the project office.
• Ensure ongoing data quality and governance by defining executable data quality rules, monitoring KPIs via Tableau dashboards, maintaining documentation and change logs in Confluence.

Internship Learning Outcomes:

• Understand master data domains and processes (Product, planning, materials, etc.) and how they enable business and manufacturing operations.
• Gain hands-on skills in data profiling, mapping, and transformations; configure and test data in Global Master Data applications; visualize data quality using BI tools (e.g. Tableau, SAP BO, Denodo, etc.)
• Build testing and governance capabilities: write UAT scripts, perform fit–gap analysis, monitor data quality KPIs, and maintain documentation.
• Strengthen analytical, communication, project management and problem-solving skills through cross-functional collaboration and clear, structured documentation.
• Gain experience in AI agent implementation for real world supply chain use cases.
• Gain exposure to global projects in a leading semiconductor company.

Your Profile

Qualifications and skills to help you succeed

• On track to attain Bachelor’s in Computer Science, Data Analytics, Engineering
• Preferred Skills: Python, GenAI experience, Tableau, SAP BO, Denodo, HTML (good to have)
• Preferred Internship Period: Jun 26 – Dec 26 , minimally 6 months. Applicants with 1 year commitment period are also welcome to apply!

Contact:
Hillary Woo

#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.
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. Learn more about our various contact channels.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.