Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.
In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
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Support the development and implementation of technical solutions to monitor and improve data quality across the enterprise, with a strong focus on SAP R/3 and S/4HANA
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You will help our business units to establish Master Data standards and increase the quality level of Master Data in ERP, CRM and consuming systems
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Work closely with cross-functional teams, including business users, data owners and IT teams, to ensure technical solutions consider end-2-end processes
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You will play a crucial role in digital transformation Projects
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Ensure project deliverables meet quality standards
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An successfully completed studies preferably business informatics, information technology or a technical education in informatics, paired with a passion for master data and data quality
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At least 5 years relevant professional experience, experience in a consultant role is a plus
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Experience in SAP Material Master Data and the corresponding processes
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Strong understanding of SAP data and system architecture
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The ability to structure and develop your own frameworks and communicate them in a structured and easy-to-grasp way
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A natural interest in state-of-the-art technological developments and a good understanding of technical feasibility of data-driven products and services
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A proven track record of agile project experience and agile project management success stories
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Been part of a data project end-to-end, from data cleaning to data integration, modelling, and productizing
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Excellent English and German skills
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