Change the world. Love your job.

Responsibilities include:

• Evolve and expand the capacity models for our fab
• Own the accuracy of our capacity models – monitor data integrity and align regularly with tool owners to keep model inputs current
• Determine the starts and mixes we can support, now and in the look-ahead, based on capacity constraints, tool performance and upcoming process releases
• Build and maintain dashboards that make capacity, constraints and tool performance transparent to operations and management
• Automate recurring analyses, from data extraction to visualization
• Identify opportunities to improve cycle time and strengthen our models as a basis for operational decisions
• Support tool owners, engineering and planning in assessing the capacity and cost impact of process changes

Minimum requirements:

• Bachelor's degree in Industrial Engineering or similar
• Working knowledge of Python for data preparation, analysis and automation
• First experience turning large data sets into clear visualizations and reports for different audiences
• Good German language skills (min. B2) and business-fluent English
• Ability to work in a cleanroom environment wearing a smock
• Enjoys working with different functions – from engineering through manufacturing to planning

Preferred qualifications:

• First exposure to capacity modeling, semiconductor manufacturing or a production environment
• SQL for querying manufacturing databases
• Interest in working with AI-supported tool .e.g. for code generation, data analysis or preparing evaluations
• Experience with a BI tool (e.g. Spotfire)
• Strong stakeholder skills – building relationships across functions
• Quick to ramp on new systems and processes