- Gefragte Sprachen
- Englisch verhandlungssicher
- Stellenangebot auf
- Englisch
- Arbeitsort
- Munich - Office
- Arbeitsmodell
- Vor Ort
- Anstellung
- Praktikum
- Veröffentlicht
- 30. Oktober 2026
Kurz zusammengefasst
Haleon is a global consumer health company that develops and markets well‑known brands such as Sensodyne®, Panadol®, Advil® and others. The firm is expanding its supply‑chain capabilities and is seeking a motivated Working Student to join the Supply Demand Planning team. This role offers a chance to work on real‑world forecasting, inventory control and supply‑planning tasks while collaborating with multiple business functions. On a daily basis the intern will assist with demand forecasting and the regular planning rhythm, analyse sales data, consumption patterns, seasonal effects and promotional impacts, and keep an eye on stock levels and potential supply disruptions. The position also involves preparing reports, building planning presentations, maintaining the underlying data sets, and contributing to ad‑hoc analyses and specific supply‑demand projects. The ideal candidate is currently enrolled in a degree program related to Business, Supply Chain, Economics, Engineering or Data Analytics. They must demonstrate strong analytical abilities, confidence with numerical work, and solid Excel skills. Proficiency in English is required, while German language ability is considered an additional advantage. Familiarity with Power BI is welcomed but not mandatory. A structured, proactive and reliable approach to work is also expected. Haleon highlights that the internship provides hands‑on exposure to forecasting, inventory management and commercial planning, allowing the student to take ownership of tasks and sharpen analytical and planning competencies. The role is based within a diverse, purpose‑driven environment that values inclusion and offers support for reasonable adjustments throughout the recruitment process. What the role asks for: - Currently enrolled in Business, Supply Chain, Economics, Engineering or Data Analytics degree - Strong analytical skills with numbers - Proficient in Excel - Good English proficiency - German language proficiency (plus) - Power BI experience (plus)
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