Group Supply Chain Analytics Apprentice

Group Supply Chain Analytics Apprentice

Barcelona

Hybrid

We are seeking a passionate Analytics Apprentice with a sharp analytical mindset, eager to deep-dive into business processes and help transform the Supply Chain (SC) through Data & Analytics

At dsm-firmenich people are at the heart of the company. We are committed to equal employment opportunities and value diversity in the workplace.

Your key responsibilities:
•    Support the definition and calculation of the SC KPIs for the organization: capturing complex business logics into key metrics.
•    Translating data into actionable insights.
•    Conduct KPI simulations using data visualization tools (Power BI, Qlik, or similar).
•    Have an active role in the construction of Dashboards and analytical solutions for Group SC.
•    Present results and data-driven insights to stakeholders.
•    Create content to spread analytical knowledge in the company.

We bring

•    An eagerness to be one team and learn from each other to bring progress to life and create a better future.
•    A flexible work environment that empowers people to take accountability for their work and own the outcome.
•    An international environment in a dynamic growing affiliate.
•    Barrier-free communities within our organization where every employee is equally valued and respected – regardless of their background, beliefs, or identity.
•    A space to grow by encouraging and supporting curiosity and an open mindset.
 

You bring:
•    Degree in Engineering, Mathematics, Physics, Business or similar

•    Sharp analytical skills; strong problem-solving capabilities and meticulous attention to detail

•    Excellent communication skills in English; capable of conveying complex concepts clearly.

•    A team-first spirit, having team objectives at the heart of everything we do.
•    Hands-on experience with projects related to Data Analytics, AI and/or Machine Learning is a plus.
•    Knowledge of relevant tools (e.g., Power BI, Tableau, Qlik) and data programming languages (e.g., SQL, Python) is advantageous.