At Henkel, you can be a game changer and craft your career. Unleash your entrepreneurial spirit by bringing your ideas to life within a global team. Our leading brands and technologies, along with our high-performing businesses will provide you with countless opportunities to develop your skills and explore new paths. Your career at Henkel will contribute to a more sustainable future, while you grow within our vibrant, diverse culture of trust and belonging. If you're up for challenging the status quo, join our team of pioneers and make your mark on the future with us.
Do you dare to make an impact?
- Data mining or extracting usable data from valuable data sources.
- Developing prediction systems, machine learning algorithms using machine learning tools to select features, create and optimize classifiers.
- Carrying out preprocessing of structured and unstructured data, enhance data collection procedures to include all relevant information for developing analytic systems.
- Develop necessary connector to plug machine learning software into wider data pipeline architectures.
- Analyzing large amounts of information to find patterns, solutions. Propose solutions and strategies to tackle business challenges.
- Collaborate with Business and IT teams from region and global.
- Lead specific digital related data analytics project according to defined priorities & roadmap including data collection, manipulation and analysis formulating recommendations for actionable business decisions.
- Consolidate multiple data sources to meet business rules and supports analytical needs.
- Identify gap between business requirement and data, propose solution to resolve or shorten the gap.
- Accountabilities (Time in %)
- Lead and develop Data Analytics Project. 50%
- Data cleansing & structuring. 30%
- Requirements Collection & Roadmap definition. 20%