Apprentice Operations Analytics

Description du poste:

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