Apprentice Operations Analytics

Apprentice Operations Analytics
Barcelona, Spain
Hybrid

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

At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Customers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated.

Your key responsibilities

•    Support the definition and calculation of the Ops 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 Operations.
•    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.