Global Master Data Analyst Intern – SAP & Data Growth

Lonza Group; Lavamünd; Vor Ort; EUR 21.000 - 34.000; Vollzeit

Benefits dieser Stelle

Agile career culture

Inclusive workplace

Competitive compensation programs

Role/location dependent benefits

Zusammenfassung

Lonza invites applications for an Internship Global Master Data Analyst (80-100%). The role is based in Visp, Switzerland, within the Global Master Data team. You will learn SAP MM, PP and SD modules while collaborating with experts across Lonza.

This site-based internship supports mastery of master data processes and data structures, with a focus on continuous improvement and teamwork in a multinational environment.

Qualifikationen

• Bachelor or Master degree in data or computer science, business information technology, or mathematics.
• Understanding of data structures or experience with databases.
• Fluent in English; German or additional languages are a plus.
• Interest in continuous improvements of processes, IT tools and innovative solutions.
• Team player in a multi-cultural environment.

Aufgaben

• Perform various data analyses and reports to support Master data or business projects.
• Support SAP Master data mass maintenance and migration projects.
• Gather feedback from global and local SMEs within the organization.
• Define functional and technical requirements for development/enhancement of new Master Data processes.
• Improve and enhance training documentation and provide trainings to various teams.

Kenntnisse

Data analysis

English proficiency

Team collaboration

Ausbildung

Bachelor or Master in Data Science / Computer Science / Business Information Technology / Mathematics

Tools

SAP MM

SAP PP

SAP SD

Jobbeschreibung

Lonza invites applications for an Internship Global Master Data Analyst (80-100%). The role is based in Visp, Switzerland, within the Global Master Data team. You will learn SAP MM, PP and SD modules while collaborating with experts across Lonza.

This site-based internship supports mastery of master data processes and data structures, with a focus on continuous improvement and teamwork in a multinational environment.