Regional Business Analyst - Supply Chain

Your Tasks • Provide finetuned analytical BI tools to the region, adjusting global governed self-service data and combining with local data and structures • Regularly use the expert knowhow of the various available datasets to generate ad-hoc data overviews supporting business decisions (e.g., assortment complexity, LOM, inventory analysis) • Multiply learnings within regional & local team by supporting in data & analytics requests • Data processing, analysis and visualization; potential evaluation for use cases (savings, workload reduction, etc ); providing data based recommendation • Rolling out global good practices/learnings/solutions and foster local and regional solutions for global leverage • Identify and groom further analytic use cases in the region; Shape use cases into MVP approach, collaborate with the Global Planning Analysts for a high-level design and estimate and bring into qualified backlog • Shaping and finetuning Decision automation rules and algorithms Your Profile • Bachelor’s or Master’s degree in Supply Chain Management, Business Analytics, Engineering, Data Science, or a related discipline • 4-5 yrs experience in data analytics, business intelligence, or supply chain planning analytics • Experience working with large datasets and structured business data • Experience with planning data and supply chain datasets would be an advantage • Hands-on experience with data visualization and BI tools such as Power BI, Tableau, or similar platforms • Strong analytical mindset, structured thinking, and problem-solving skills • Ability to translate complex data into actionable business insights • Knowledge of supply chain planning processes is a plus • Ability to work effectively in an international and cross-functional environment • Strong communication, collaboration, and proactive working style At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society. Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all. Show more Show less

Bachelor’s or Master’s degree in Supply Chain Management, Business Analytics, Engineering, Data Science, or a related discipline. 4-5 years experience in data analytics, business intelligence, or supply chain planning analytics. Experience working with large datasets and structured business data. Experience with planning data and supply chain datasets would be an advantage. Hands-on experience with data visualization and BI tools such as Power BI, Tableau, or similar platforms. Strong analytical mindset, structured thinking, and problem-solving skills. Ability to translate complex data into actionable business insights. Knowledge of supply chain planning processes is a plus. Ability to work effectively in an international and cross-functional environment. Strong communication, collaboration, and proactive working style.

Provide finetuned analytical BI tools to the region, adjusting global governed self-service data and combining with local data and structures. Regularly use the expert knowhow of the various available datasets to generate ad-hoc data overviews supporting business decisions (e.g., assortment complexity, LOM, inventory analysis). Multiply learnings within regional & local team by supporting in data & analytics requests. Data processing, analysis and visualization; potential evaluation for use cases (savings, workload reduction, etc ); providing data based recommendation. Rolling out global good practices/learnings/solutions and foster local and regional solutions for global leverage. Identify and groom further analytic use cases in the region; Shape use cases into MVP approach, collaborate with the Global Planning Analysts for a high-level design and estimate and bring into qualified backlog. Shaping and finetuning Decision automation rules and algorithms.