Data Functional Analyst (K10195)
Primary stack
Nice to have's
Job description
About the Position
Data Functional Analyst (K10195)
Location: Brussels, Belgium
Duration: 26/10/2026 - 31/12/2026
The Data Office is the cornerstone of all data-related activities within NIHDI (INAMI-RIZIV). You will join a multi-disciplinary agile team consisting of data engineers, reporting experts, data functional analysts, project managers, data architects, data quality experts, and AI specialists.
Responsibilities
- Lead discussions with Subject Matter Experts (SME) to understand their data-related needs.
- Identify, assess, and understand business processes, operational, and analytics data flows (incoming and outgoing).
- Translate business needs into data and technical requirements.
- Design and validate data models in collaboration with Data Architects.
- Establish the functional design for developments in full collaboration with the Data Governance team, BI Technical Leads, and SDO (ICT) teams.
- Ensure GDPR and security compliance by being in contact with the DPO.
- Ensure the testing of the data products developed.
- Inform, train, and encourage the adoption of business users.
Requirements
- Roles: Data Analyst
- Languages:
- English: Active knowledge
- Dutch: Active knowledge
- French: Active knowledge
- Skills:
- Concrete experience in data warehouse modelling (Kimball approach): Junior
- Data modelling: Confirmed
- Data functional analysis: Confirmed
- SQL: Confirmed
- Experience:
- Minimum 5 years of professional experience in data functional analysis.
- Minimum 3 years of concrete experience with MS on-premise stack (SQL Server, SSIS, SSAS, PowerBI)
- Experience with Azure databricks is a plus
- Education:
- Master's degree in Computer Science or equivalent through experience.
Nice to Have
- Prior experience as a data engineer is a plus.
We Offer
- An interesting job in the realization of SDO (ICT) and Data services that has an impact on society.
- Good work-life balance with flexible working hours within the 70-hour week.
- Possibility of teleworking (3 days/week).
- Workspaces organized according to activities.
- Easy accessibility via public transport.
- Car and bike parking in the building.
- Individual locker.
- Company restaurant.
About the Company
Join our team and contribute to impactful data services that benefit society. We offer a dynamic work environment with numerous advantages, including flexible working hours, teleworking options, and a supportive team culture.
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