Internship Global Master Data Analyst 80-100%
lonza.com
- Required language
- German professional, English professional
- Job written in
- English
- Location
- Visp
- Work type
- On-site
- Type
- Full-time
The role of a Global Master Data Analyst Intern is within the Master Data department at Lonza, a company dedicated to manufacturing medicines. The department is responsible for creating and maintaining master data processes and standards that are used across the entire organization. The intern will be based in Visp, Switzerland, and will work closely with various departments and experts worldwide. The intern's main tasks will involve performing data analyses and generating reports to support master data or business projects. They will also assist with SAP Master Data mass maintenance and migration projects, gather feedback from global and local Subject Matter Experts (SMEs), and define functional and technical requirements for developing or enhancing new master data processes. Additionally, the intern will improve and enhance training documentation and provide direct training to various teams within Lonza. To qualify for this role, candidates must have a Bachelor's or Master's degree in data or computer science, business information technology, or mathematics. They should have an understanding of data structures or experience with databases. Fluency in English is required, with proficiency in German and any additional languages being an asset. The role demands a keen interest in continuous process improvements, IT tools, and innovative solutions, as well as the ability to be a reliable team member in a multicultural environment. Nice-to-have skills include a strong interest in working in a dynamic and inclusive workplace. The location in Visp, Switzerland, offers a collaborative and ethical work environment. The role provides opportunities for growth and development within a globally connected team. What the role asks for: - Bachelor- or Master's degree in Data or Computer Science, Business Information Technology or Mathematics. - Knowledge of data structures or experience with databases. - Fluent English. - Interest in continuous improvement of processes, IT-tools and innovative solutions. - Interest in working in a reliable team in a multicultural environment. - Knowledge of German (nice to have).
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