Data Scientist responsible for establishing data flows and developing insights within Novartis's Data and Statistical Sciences team. Collaborating across teams to optimize biopharmaceutical manufacturing processes and drive data - driven decision making.
About the role
- Product Data Manager responsible for defining and maintaining quality standards for product data. Working at SKYLOTEC GmbH, a leading manufacturer of fall protection equipment.
Responsibilities
- Define and ensure quality standards for product master data (completeness, integrity, consistency) across all channels (B2B/B2C, eCl@ss, BMEcat)
- Establish and manage data maintenance processes and workflows, including functional responsibility
- Monitor data quality, conduct master data audits and track remedial actions
- Further develop the PIM system and contribute to the implementation and operation of a PLM system
- Support the development of a central database
- Design and manage the labeling system (NiceLabel, international)
Requirements
- Degree or vocational training with a digital focus (e.g., Business Informatics, Data, IT)
- At least 5 years of professional experience in product data or master data management
- Strong understanding of data models, structured data and relational databases
- Experience with PIM systems; ideally some exposure to ERP systems
- Knowledge of JSON/XML, APIs, as well as analytics and reporting tools
- Structured working style, high attention to detail and ability to work independently
- Very good English; German is desirable
Benefits
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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