Internship - Master Data Analyst

AI Agent Development: Prototype an AI agent to analyze supply chain datasets, detect anomalies and data quality issues, and support root-cause analysis and resolution workflows under mentorship from senior engineers. Data Virtualization & Integration: Create unified data views through virtualized or semantic layers that centralize data objects from multiple enterprise systems and databases into a single governed source for consistent, self-service analytics. Rule-Based Management Support: Assist the project lead in implementing Rule Based Management Systems in Infineon's Global Master Data applications by defining maintenance processes, validation and derivation rules, and approval workflows while validating results and tracking issues in Jira/Octane. Data Analysis & Profiling: Conduct supply chain and Product Master Data analysis using SQL, Python (Pandas), and Excel to assess data completeness, consistency, uniqueness, and accuracy, and produce profiling reports highlighting issues such as missing attributes, duplicate products, and inconsistent routes. Digital Transformation Support: Contribute to internal communications and engagement activities related to departmental digital transformation initiatives as part of the project office. Data Governance & Quality Management: Ensure ongoing data quality and governance by defining executable data quality rules, monitoring KPIs through Tableau dashboards, and maintaining documentation and change logs in Education: On track to attain a Bachelor's degree in Computer Science, Data Analytics, Engineering, or a relevant field. Preferred Technical Skills: Familiarity with Python, Generative AI (GenAI), Tableau, SAP BO, Denodo; HTML knowledge is a plus. Preferred Intake: January 27 - May/ June 27 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.