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Data Modeler

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Leuven, Belgique In4Matic Temps plein

**Function**:
As a senior Data Modeler, you will play a crucial role in performing logical and physical data design and management, including governance, master data, metadata, and security. Your responsibilities will include:

- Understanding the functional domain of a business line and mastering its applicative Business Intelligence.
- Organizing workshops to gather business requirements and define solutions with the business client.
- Planning and overseeing projects, ensuring their successful completion.
- Designing different data assets and maintaining their coherence over time.
- Assessing new tools, technologies, and methodologies for data management.
- Creating and updating functional documentation.
- Acting as a link between users and the development team by explaining the functional contents of projects.
- Validating deviations in the design and ensuring proper documentation.
- Ensuring adherence to functional and technical design standards and documentation.
- Assisting in defining the testing approach for projects with the business client.
- Testing new developments or changes to existing functionalities.

More detailed you will do:

- Creation and maintenance of five complex Qlik Sense dashboards.
- Development of a Self Service Analytics environment in Qlik Sense to empower the business to be self-reliant in data-driven decision-making.
- Experience with ODAG (On-Demand App Generation) and Section Access is essential.
- Collaborating with analysts and business stakeholders to ensure project success by actively contributing ideas and insights.

**Core Competencies**:

- Agile Methodologies
- Analytical thinking
- Collaboration
- Conceptual thinking
- Customer orientation
- Data-driven approach

**Qualifications**:

- Strong business knowledge
- Familiarity with Data Protection / GDPR regulations

**Technical Skills**:

- Must-have:

- Qlik Sense
- Nice to have:

- Business knowledge in data analytics
- Technical skills in Apache Hadoop and AWS Data Analytics