Data Functional Analyst - RIZIV INAMI
Description
The INAMI-RIZIV Data Office is the cornerstone of all data-related activities within NIHDI. The consultant joins a multidisciplinary agile team. Team members include data engineers, reporting experts, data functional analysts, project managers, data architects, data quality experts and AI specialists.
The Data Functional Analyst collects business requirements and translates them into functional and technical specifications. The assignment includes defining conceptual and logical data models and understanding business processes and incoming and outgoing data flows. Functional design is developed with Data Governance, BI Technical Leads and SDO (ICT) teams. The analyst also works with Data Architects and contacts the DPO on GDPR and security compliance.
The full-time assignment runs from 16 November to 31 December 2026 in Brussels. The hybrid arrangement requires at least two office days per week and telework within Belgium. The vacancy offers a socially impactful ICT and data-services environment, flexible hours and up to three telework days per week. The profile combines at least five years of data functional analysis with professional French and Dutch at B2+ minimum.
Top Reasons to Apply
Societal data impact
Multidisciplinary agile collaboration
Data modelling ownership
Flexible hybrid working
AI specialist collaboration
Detailed Responsibilities and Skills
Additional Responsibilities
- Collect business requirements, translate them into functional and technical specifications and define conceptual and logical data models.
General skills
- Computer Science master’s degree or equivalent experience. (Required)
- Excellent spoken, reading and written communication skills. (Required)
- Professional French proficiency, minimum B2+; platform level: active knowledge. (Required)
- Professional Dutch proficiency, minimum B2+; platform level: active knowledge. (Required)
- Excellent presentation skills. (Required)
- Strong conceptual and business understanding. (Required)
- Strong data literacy. (Required)
- A can-do attitude, strong ownership and autonomy. (Required)
- Strong problem-solving, a pragmatic approach and delivery focus. (Required)
- Team player who is perseverant, stress resistant and flexible. (Required)
- Willingness to learn and open-mindedness. (Required)
- Active knowledge of English. (Required)
- Commit to working at the Brussels office at least twice per week. (Required)
- Agree to perform telework within Belgium. (Required)
Technical skills
- At least five years of professional data functional analysis experience. (Required)
- Concrete data warehouse modelling experience using the Kimball approach; platform level: Junior, most recent experience: any time. (Required)
- Concrete experience designing and analysing data flows. (Required)
- Ability to translate business needs into technical solutions. (Required)
- Confirmed Data Analyst experience; most recent experience may be from any time. (Required)
- Confirmed data functional analysis proficiency; most recent experience may be from any time. (Required)
- Confirmed data modelling proficiency; most recent experience may be from any time. (Required)
- Prior experience as a data engineer is an advantage. (Preferred)
Tools
- At least three years of concrete experience with the Microsoft on-premise stack: SQL Server, SSIS, SSAS and PowerBI. (Required)
- Confirmed SQL proficiency; most recent experience may be from any time. (Required)
- Experience with Azure Databricks is an advantage. (Preferred)