Context

The NIHDI (or RIZIV [NL] or INAMI [FR]) is a key player for the health and social security in Belgium.

Our mission is to ensure that every insured person, irrespective of his personal situation, has access to the qualitative medical services that are effective and within the agreed tariffs.

Our mission is also to ensure that every working person has access to a replacement income in case of a disability to work, as well as realistic chances to get back to work after a period of disability.

The Data Office of NIHDI focuses on the management, governance and usage of data in order to help NIHDI to reach its objectives, to establish relevant policies and to take relevant decisions. The Data Office is the cornerstone of all data related activities within NIHDI. We ensure an efficient, ethical and compliant collection, integration, sharing and usage of all data within NIHDI, as well with and with other Belgian/European institutions and medical insurances.

At the Data Office, 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.

The Data Office relies on the following technologies: MS SQL Server, MS SSIS, MS SSAS, Enterprise Architect or similar, SAS, Azure, PowerBI, DataBricks. The Data Office is owner of the central Data Warehouse (Kimball methodology) from which a large number of Data Marts and Reports are being fed.

Role & Responsibility

• The Data Functional Data Analyst is in regular contact with the different business stakeholders (data teams and subject matter experts) to understand their business needs. He/she identifies, assesses and understands business processes, operational and analytics data flows (incoming and outgoing). He/she translates the business needs into data and technical requirements.
• He/she designs the data architecture and validates the data models in collaboration with Data Architects.
• He/she establishes the functional design for our developments in full collaboration with the Data Governance team, the Technical Leads of the BI team and the ICT teams.
• He/she is in contact with the DPO to ensure full alignment with GDPR and security requirements.
• The Data Functional Analyst plays also an active role in testing the data products developed.
• After delivery of the product, he/she remains the key player to inform and train our users.
• Even after delivery, he/she remains the liaison with the end users in order to further improve our data products.

Your Technical Skills

• Master degree in Computer Science or equivalent through experience.
• Minimum 10 years of practical and professional experience in data functional analysis.
• Concrete experience in data modelling (mainly conceptual and logical modelling) within a data warehouse context (preferably following the Kimball approach).
• Concrete experience in designing and analysing data flows.
• Prior experience as data engineer 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
• 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
• As a senior, you have the ability to develop relationships with the Business and data stakeholders, develop trust and buy-in with active listening and assertiveness
• Team player with an ability to work in a collaborative spirit within a transversal organization
• Perseverance, stress resistant and flexibility
• Like to learn and open-minded

The Current Project

As Senior Data Functional Analyst you will join a specific project. The NIHDI and the Belgian medical insurances have decided to join their efforts to improve the exchange of health and disability related information between their organizations for analytics needs. The objectives are to increase data flows frequency exchanges as well as to improve data quality level. In this context, a common modern data platform is intended to be set up.

As Senior Data Functional Analyst you will help to set up this common data platform. More specifically, you will define the data quality processes, the detailed controls and the technical specifications needed for the development of a data quality validation engine.

What we have to 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 40-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
• Workspaces organized according to activities
• Easy accessibility via public transport
• Car and bike parking in the building
• Individual locker
• Several opportunities for self-development
• Training and apprenticeship opportunities (to be taken outside working hours) via our e-academy self-learning platform or via the Microsoft Enterprise Skills Initiative platform
• Company restaurant