About the mission
We are looking for a Data Functional Analyst to lead discussions with business experts to understand their data needs, translate these into technical requirements, and design data models. This role requires strong communication skills and a solid background in data analysis and modeling.
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Context
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.Role & Responsibility
Lead discussions with 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 business needs into data and technical requirements.
Design and validate data models in collaboration with Data Architects.
Establish functional design for 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 testing of the developed data products.
Inform, train, and encourage adoption among business users.
Your Technical Skills
Master’s degree in Computer Science or equivalent through experience.
Minimum 5 years of professional experience in data functional analysis.
Concrete experience in data warehouse modeling (Kimball approach).
Concrete experience in designing and analyzing data flows.
Prior experience as a data engineer is a plus.
Minimum 3 years of concrete experience with MS on-premise stack (SQL Server, SSIS, SSAS, PowerBI).
Experience with 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 a strong sense of ownership and autonomy.
Strong problem-solving, pragmatic approach, and delivery focus.
Team player, perseverant, stress-resistant, and flexible.
Eager 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 a 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.What you'll do
- 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.
What we're looking for
- 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.
Skills
- SQL Server
- SSIS
- SSAS
- PowerBI
- Azure Databricks