Job
- Level
- Experienced
- Location
- Kassel
- Working Model
- Hybrid, Onsite
- Job Field
- BI
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will be responsible for maintaining and ensuring the quality of product data, managing the PIM system, and optimizing data-related processes in the ERP environment while collaborating with various departments.
Job Technologies
Your role in the team
- Data management is a central interface within our company. Together with product management, sales, marketing, and IT, the team ensures that our product and master data are complete, accurate, and available at the right time in the relevant systems and channels.
- The team's responsibilities include, among other things, maintaining and ensuring the quality of article data, managing the Product Information Management (PIM), providing product information for digital channels, and supporting central digitalization and ERP/SAP projects.
- Technical leadership of the data management team.
- Responsibility for the quality, completeness, and timeliness of our product and master data.
- Further development of processes, standards, and structures in data management.
- Maintenance of master data in the ERP and PIM system as well as coordination of the associated workflows.
- Operational management and further development of the Product Information Management System (PIM) and adjacent systems.
- Close collaboration with product management, procurement, sales, marketing, and IT.
- Participation in the implementation of SAP S/4 Hana and other digitization projects in the PIM and ERP environment.
- Analysis and optimization of data-related processes.
- Promotion of a sustainable master data and data culture within the company.
- Support in planning and implementing future system and process requirements.
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Our expectations of you
Education
- Successfully completed university studies or a comparable qualification in the field of Business, Computer Science, Data Management, or a related discipline.
Qualifications
- Willingness to take professional responsibility and act as the team's spokesperson externally.
- Strong understanding of data structures, data quality, and data-driven processes.
- Strong organizational and project management skills.
- Analytical thinking skills as well as a structured and solution-oriented way of working.
- Strong communication skills and enjoyment in collaborating with different departments.
- High level of initiative, sense of responsibility, and assertiveness.
- Fluent in German and proficient in English.
Experience
- Professional experience in master data, product data, or data management.
- Experience in working with PIM, ERP (preferably with SAP S/4 Hana), or comparable systems.
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What we offer
- A secure job and good development opportunities in a family-owned company that has been established since 1919 and has been continuously growing.
- A family-like and appreciative atmosphere.
- High degree of autonomy thanks to lived trust.
- Exciting digitization and transformation projects.
- The opportunity to actively shape the future of our data management and lay the foundation for a successful digital future.
- Further training measures.
- Attractive special payments.
- Option for remote work with up to 3 days per week.
- Complimentary beverages such as coffee, tea, and water, as well as a canteen.
- Free parking directly at the location (including e-charging options at a discounted employee rate).
- Access to corporate benefits with attractive employee discounts.
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Benefits
Higher Take-Home Pay
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
W. & L. Jordan Gmbh
Das 1919 gegründete Familienunternehmen zählt mit seiner Marke JOKA zu den führenden Anbietern für Bodenbeläge, Türen, Holz, Wohntextilien und Tapeten im deutschsprachigen Raum.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
data management specialist
- Location
- Kassel
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
