Industrial IoT Data Analyst ‏(d/f/m)

At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of over 47.000 pioneers around the globe. Our teams at Henkel Adhesive Technologies help to transform entire industries and provide our customers with a competitive advantage through adhesives, sealants and functional coatings. With our trusted brands, our cutting-edge technologies and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth.

Dare to make an impact?

YOUR ROLE

• Solve complex business problems with data
• Advance the team with expertise and knowledge
• Collaborate with Data Engineering and Data Quality Assurance teams using agile methods to deliver high quality data products
• Actively participate in cross-functional project teams
• Act as data science ambassador across business units and functions
• Deliver data science products from idea to deployment
• Master data scientific tools to find solutions for challenges in the realm of both big and small data
• Deliver insight and value from data to the organization
• Explore emerging technologies and leveraging their full potential

YOUR SKILLS

• Master degree in Data Science / Statistics
• 5+ years of relevant work experience in related roles
• Broad and in-depth business kn Machine learning and AI
• Knowledge in Quantitative research and Statistics, as well as Data Mining and Data Visualization
• Language skills English & German

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, disabilities, and generations.