Hybrid
We are looking for an apprentice specialized in data analytics. Join a dynamic team in a complex Supply Chain and work for a leading perfumery company. We'll need you to leverage data in order to optimize supply chain, drive efficiency and enhance decision-making. We offer the chance to join a worldwide company promoting careers internally.
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
- Collect, clean, and organize data related to the supply chain, including data on suppliers, inventory, capacity, and Row materials.
- Support regional IBP & operational processes, including inventory and supply chain management, Supply Planning, process management across AMET and EUR region.
- Analyze data using statistical methods and software such as PBI, VBA, Python, or SQL to identify trends and patterns in the supply chain.
- Create visualizations and reports to communicate findings to stakeholders, including senior management, developing dashboards to track progress over time.
- Identify areas for improvement in the supply chain, such as reducing lead times, improving inventory management, and cost saving.
- Monitor key performance indicators (KPIs). Stay up to date with industry trends and best practices in supply chain management and data analysis.
- A rich history and a promising future of bold scientific innovation and passionate creation with our customers;
- A space to grow by encouraging and supporting curiosity and an open mindset;
- A culture that prioritizes safety and well-being, both physically and mentally;
- A flexible work environment that empowers people to take accountability for their work and own the outcome;
- Barrier-free communities within our organization where every employee is equally valued and respected – regardless of their background, beliefs, or identity;
- A firm belief that working together with our customers is the key to achieving great things;
- Master's degree in Statistics, Engineering, data scientist, or equivalent.
- Critical thinking and proactive work style.
- Analytical skills.
- Pro-active, positive attitude, and willing to learn.
- Proficiency in Excel, Power BI, and other data analysis tools, to create and operate reports.
- Knowledge is some code language software (SQL/ Python/VBA/M)
- English is must, French/Spanish is a plus
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