Join our team within the Automotive Microcontroller division and support data-driven innovation through Data Analytics, AI, and Digital Transformation initiatives.
Analytics Solutions: Maintain and enhance dashboards, reports, and data-driven applications Data Analysis and Interpretation: Analyze business data and identify opportunities for informed decision-making AI and Agentic AI: Support the evaluation, development, testing, and adoption of relevant AI-based solutions Data Quality: Perform data validation, testing, and monitoring activities to ensure reliable reporting Process Automation: Help optimize and automate recurring business and analytics processes Documentation and Knowledge Sharing: Document data sources, workflows, dashboards, and best practices to improve maintainability and knowledge sharing Cross-Functional Collaboration: Work closely with business stakeholders and technical experts on analytics and digitalization initiatives Ownership and Professional Growth: Contribute to independent work packages while continuously learning about Data Analytics, AI, and emerging technologies Working part-time: The focus is on studies.
Study field: You are currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Business Informatics, Engineering, Mathematics, Physics, or a related field Programming & data skills: You have a solid foundation in Python and SQL and enjoy working with data to solve real-world problems Analytics & visualization: You are familiar with data analytics concepts and ideally have initial experiences with BI and visualization tools such as Tableau or similar platforms AI mindset: You are enthusiastic about Artificial Intelligence and emerging technologies, with a strong interest in exploring practical AI applications Way of working: You have a structured, analytical, and solution-oriented mindset with a proactive approach to learning and problem-solving Documentation & quality: You appreciate the importance of documentation, data quality, and maintainable solutions in a professional environment Collaboration: You enjoy working in a collaborative environment and feel comfortable communicating with both technical and non-technical stakeholders Technical curiosity: Familiarity with Git, Jupyter Notebooks, automation tools, or data pipelines is considered a plus Language skills: You have very good English communication skills, both written and spoken.
German is a plus 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.
Britta Johansson