HR Data & Rewards Intern — Global Job Grading

Datwyler

Schattdorf

Vor Ort

CHF 20.000 - 28.000

Teilzeit

14 Tage+

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Zusammenfassung

Datwyler in Schattdorf, Switzerland, offers a Working Student position in Total Rewards & People Analytics. You will help implement a global job grading system and gain hands-on HR experience in an international setting.

The role emphasizes data handling, documentation, and coordination, with exposure to job architecture, evaluations, and HR reporting. Proficiency in MS Excel, PowerPoint, and Power BI is beneficial, with English and German communication required.

Qualifikationen

  • Currently enrolled as a BSc or MSc student in HR, business, economics, data analytics, or related field.
  • Able to work with data in an organized and precise way.
  • Proficient in MS Excel and PowerPoint; Power BI is a plus.
  • Fluent in English and German for international collaboration.
  • Enrollment at a university in Switzerland or Germany during the internship.

Aufgaben

  • Assist with data-related tasks for the new global job grading system implementation.
  • Support job architecture and job evaluation activities.
  • Prepare presentations, reports, templates, and communications.
  • Help maintain Total Rewards data and documentation.
  • Support HR data validation and quality checks.
  • Assist with ongoing activities and selected projects.
  • Gain exposure to People Analytics and HR reporting as priorities permit.

Kenntnisse

Data analytics
Structured and accurate working
English & German communication

Ausbildung

BSc or MSc student in HR/Business/Data Analytics

Tools

Power BI
PowerPoint
MS Excel

Jobbeschreibung

Datwyler in Schattdorf, Switzerland, offers a Working Student position in Total Rewards & People Analytics. You will help implement a global job grading system and gain hands-on HR experience in an international setting.

The role emphasizes data handling, documentation, and coordination, with exposure to job architecture, evaluations, and HR reporting. Proficiency in MS Excel, PowerPoint, and Power BI is beneficial, with English and German communication required.

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