Context

The Data Office is the cornerstone of all data related activities within NIHDI (INAMI-RIZIV). You will join one of multi-disciplinary agile teams consisting of data engineers, reporting experts, data functional analysts, project managers, data architects, data quality experts and AI specialists.

Role & Responsibility

• Lead discussions with the different Subject Matter Experts (SME) of the business to understand their data related needs.
• Identify, assess and understand business processes, operational and analytics data flows (incoming and outgoing).
• Translate the business needs into data and technical requirements.
• Design and validate the data models in collaboration with Data Architects.
• Establish the functional design for our developments in full collaboration with the Data Governance team, BI Technical Leads and SDO (ICT) teams.
• Be in contact with the DPO to ensure GDPR and security compliance.
• Ensure the testing of the data products developed.
• Inform, train, encourage adoption of business users.

Your Technical Skills

• Master degree in Computer Science or equivalent through experience.
• Minimum 5 years of professional experience in data functional analysis.
• Concrete experience in data warehouse modelling (Kimball approach).
• Concrete experience in designing and analyzing data flows.
• Prior experience as data engineer is a plus.
• Minimum 3 years of concrete experience with MS on-premise stack (SQL Server, SSIS, SSAS, PowerBI).
• Experience of Azure Databricks is a plus.

Your Profile

• Excellent communication skills (speaking, reading, writing), mastering both national languages professionally (French & Dutch: B2+ minimum).
• Excellent presentation skills.
• Strong conceptual and business understanding.
• Strong data literacy.
• Ability to translate business needs into technical solutions.
• Can do attitude with strong sense of ownership and autonomy.
• Strong problem-solving, pragmatic approach and delivery focus.
• Team player, perseverant, stress resistant and flexible.
• Like to learn and open-minded.

What we offer:

An interesting job in the realization of SDO (ICT) and Data services that has an impact on society, with many advantages: a good work-life balance; flexible working hours within the 70-hour week (7:30 a.m. to 8 p.m. with fixed slots between 9 a.m. and 12 p.m. and 1 p.m. and 4 p.m.); 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, and more.

Job Summary

As a Data Functional Analyst you will be in charge of collecting the business requirements, translating them into functional and technical specifications, and defining the data model (conceptual and logical).