Data Analyst & Modeller

Context and Objective(s) of the job
Our client is implementing a set of initiatives for improved data management. One such initiative is the implementation of a modern cloud-based data platform that will act as the trusted andsecure source of data for the Corporate Centre’s reporting and analytics needs.

In that context, the Corporate Centre is looking for a Data Analyst & Modeller who will play a key role in the onboarding of use cases and datasets onto the data platform. The Data Analyst & Modeller will be part of the Data Office (alongside the newly appointed Data Governance Officer) and will report to the Head of Data Management. His/her key responsibilities will be
as follows:

Data analysis
Analyse requests for new datasets (or new reports requiring new data), from business requirements gathering/clarification to functional analysis (including definition/clarification of business rules, data profiling, quality criteria, security rules, and source-to-target mapping)
Develop and maintain up-to-date documentation
Prepare and execute test plans; supports the BI Center and business users during UAT
Analyse incidents (for use cases / datasets already implemented in the data platform) and solve them when they are in his/her scope

Data modelling
Understand and translate business needs into conceptual and logical data models according to
company standards and guidelines (Data Vault and dimensional modelling)
Ensure consistency across data models and foster integration/reuse across the departments of the organization
Propose improvements to the company’s data modelling approach (methodologies, standards, guidelines)
Create data dictionaries and populate business glossary
Work with IT (= IT supplier) for the creation of physical data models and data pipelines
Understand the architecture, infrastructure, security issues, data platforms and organization, as well as the interfaces to data sources, the tools supporting automated data loads

Data architecture
Understand the Corporate Centre data architecture, infrastructure, security requirements and set- up, data platform structure and organization, as well as the interfaces to data sources and the mechanisms used for data loads
Identify and propose improvements regarding the above

Required Knowledge and Experience

• English
• Dutch
• French
• Drive, ownership and proactivity
• High quality standards
• Collaborative mindset (within team and beyond)
• Focus on business value creation
• Relationship-building and influencing skills
• Communication and presentation skills
• Ability to combine high level perspective and attention to details
• Resilience
• Curiosity and eargerness to learn and share Business experience required (work experience)
• Business and functional analysis
• Data analysis and specification (profiling, source-to-target mapping…)
• Project management
• Data architecture Mid-level
• Technical experience required (hard skills related to physical or digital tools)
• Data modelling: Data Vault
• Data modelling: Dimensional modelling
• Data querying (SQL) and analysis
• MS Azure cloud and data (architecture + hands-on experience)
• Erwin
• Informatica Cloud Data Quality (or similar)
• DataGalaxy (or similar)
• Functional experience required (job experience in particular industry and in particular function)
• Data management and governance
• Experience in working in complex organisations
• Experience in finance (esp. performance mgmt.) and/or risk mgmt.