Stellenausschreibung

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 a culture of inclusion, respect and trust that is strongly aligned with our values CARE, COURAGE, SIMPLICITY and TRUST. We embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.

Your Tasks

At Beiersdorf, digitalization stands as a paramount cross-functional priority. Within the sphere of Supply Chain Manufacturing, digitalization emerges as a pivotal focus area, strategically aligned with the goals outlined in the CARE+ Strategy. Its aim is to bolster efficiency and optimize operations. Central to this digital transformation is the utilization of data analytics, serving as a vital catalyst for achieving customization, enhancing flexibility, and driving productivity gains.

Lead one of the key pillars of Manufacturing Digitalization
Develop end-to-end data analytics capabilities to address business needs
Improve current manufacturing and supply chain KPIs
Build upon continuous improvement and operational excellence foundations
Leverage shopfloor data to define and solve key business problems
Act as a business translator to align technical solutions with business objectives

Your Profile

University master’s degree (Computer Science, Information Systems, Automation Engineering, Industrial Engineering) with good business understanding, PhD is a plus
7+ years of relevant work experience (experience in compounding/processing will be a plus)
Working experience in a factory environment or a role close to manufacturing
Passionate about data and its linkage to business processes
Profound knowledge in process and data management
Good knowledge of relational database concepts (SQL experience is a plus)
Good knowledge and experiences in programming languages like Python or R
Good knowledge of mathematical optimization, statistics and machine learning concepts
Good knowledge of SAP ERP, SAP BW/BI, Power BI or Tableau, MS Office
Strong analytical & conceptual skills combined with assertiveness & persuasiveness
Project management skills in an intercultural working environment
Strategic thinking skills; act with entrepreneurship; able to balance interests; result-oriented and performance focus
Fluent English communication skills spoken and written

Additional information

We embrace Diversity and Inclusion and are committed to providing equal opportunities to all of our applicants – regardless of race, gender, age, religion and beliefs, sexual orientation and gender identity, disability, cultural, ethnic or national origins. We would therefore kindly ask you to include only information and data in your documents which are relevant for the assessment of your application (e.g. curriculum vitae, salary expectations, relevant references and certificates) and encourage you to upload your CV without a picture.

Have a look at our benefits: What we offer – Our Benefits | Beiersdorf

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