Jobbeschreibung
Für uns ist
„Let's Go!“ nicht einfach nur ein Slogan, sondern eine Einstellung. Wir lieben Technik und wir wollen begeistern. Wir haben Spaß und wir wollen inspirieren. Unsere Kunden und unser Team. Deshalb suchen wir Menschen, die diesen Spirit mit uns teilen. Menschen mit Leidenschaft. Die sich darauf freuen, gemeinsam mit 50.000 Mitarbeitenden in ganz Europa das Einkaufserlebnis der Zukunft zu gestalten. For us
„Let's Go!“ is not just a slogan, it is an attitude. We love technology and we want to excite. We have fun and want to inspire. Our customers and our teams. That's why we are looking for people who share this spirit. People who are passionate about creating the shopping experience of the future together with 50.000 colleagues across Europe.
- The final maintained the product vision, road map and strategy for the corporate data model
- Align the corporate data model with business objectives, analytics goals, and enterprise data strategies
- Prioritise features and enhancements based on business impact, user feedback and technical feasibility
- Act as primary liaison between business stakeholders, analytics teams and technical engineering teams
- Translate complex business requirements into clear, actionable specifications for development
- Gather feedback from users and stakeholders to continually improve the corporate data model
- Work closely with data architects and engineers to ensure the corporate data model is robust, scalable and well documented
- In short, the data model supports key use cases including reporting, analytics and data science
- Champion data governance practises including standardisation, quality and compliance
- Manage and prioritise the product Backlog, ensuring alignment with strategic objectives
- Strong understanding of data modelling principles including relational, dimensional an entity relationship modelling
- Experience working with modern analytics platform, data warehouses and data integration tools
- Familiarity with data governance frameworks, metadata management, and master data management concepts
- Proficiency in SQL and understanding of data engineering workflows
- Proven experience in product ownership or similar roles managing the lifecycle of data and analytics products
- Strong skills in backload prioritisation, roadmap planning and requirement gathering
- Ability to lead cross functional teams and drive consensus among diverse stakeholders
- Ability to translate business needs into technical requirements, ensuring alignment with organisational goals
- Strong problem solving skills with a focus on delivering actionable insights and value
- Excellent communication skills to engage both technical and non-technical audiences
- International teams & versatile tasks
- 30 days vacation & subsidized company pension plan
- Employees discount & Fitness Collaborations
- Training & Education
- Open corporate culture & Teamwork
- Mobile work
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