Freelance klantspecifiek EQUALMINDS

The Data Office is the corner stone of all data related activities within NIHDI (INAMI-RIZIV). You will join one of multi-disciplinary agile team consisting of data engineers, reporting experts, data functional analyst, 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, …

Job Summary

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

Roles

• Confirmed   Data AnalystMost recent experience   Any time

Skills

• Concrete experience in data warehouse modelling (Kimball approach).Level   Junior   Most recent experience   Any time

• data functional analysisLevel   Confirmed   Most recent experience   Any time

• data modellingLevel   Confirmed   Most recent experience   Any time

• SQLLevel   Confirmed   Most recent experience   Any time

Belangrijkste Skills

• Datawarehousemodellering (Kimball-methodologie)

• Data Functionele Analyse

• Datamodellering

• SQL

• Microsoft Data Platform (SQL Server, SSIS, SSAS, Power BI)

• Azure Databricks (pluspunt)

Technische vaardigheden

• Masterdiploma in Informatica of gelijkwaardig door ervaring.

• Minimaal 5 jaar professionele ervaring als Data Functional Analyst.

• Aantoonbare ervaring met datawarehousemodellering volgens de Kimball-methodologie.

• Ervaring met het ontwerpen en analyseren van datastromen.

• Ervaring als Data Engineer is een pluspunt.

• Minstens 3 jaar ervaring met de Microsoft on-premise stack:

  • SQL Server

  • SSIS

  • SSAS

  • Power BI

• Ervaring met Azure Databricks is een meerwaarde.