Data Quality Analyst H/F/X
Référence 5831694 | Créé le 30 avril 2026
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Languages: English and French
Employment Type: Freelance
Start Date: ASAP
Context of the mission/Objective(s) of the job:
- Mission within client's Vision program, a major supply chain initiative focused on identifying and managing critical business data elements to improve process efficiency and business operations.
- Team is responsible for establishing data governance and management practices, onboarding top management, developing procedures and training, and implementing data governance within the organization.
- The project involves setting up data quality rules for ~700 business terms, each requiring 2-5 business rules to be coded and automated.
Responsibilities.
- Understand business quality standards and translate them to technical data quality requirements
- Analyze the data to identify existing patterns / data quality rules
- Develop and test data quality rules in mainly in SQL (also Python)
- Communicate and report data quality metrics, namely in Power BI
- Document data quality requirements and support business quality definition in Collibra
- Advocate for data quality good practices
- Support business stakeholders to use the data quality tools, and to leverage them to improve the quality of their data.
Requirements.
Years of Experience: 3-8 years
Must Have
- Strong proficiency in SQL (Oracle flavor)
- Experience in data management and programming (minimum 1-2 years)
- Ability to translate business rules into technical code
- Autonomy and initiative
- Analytical thinking and meticulous organization
Ideal Candidate:
- Experience in supply chain data and/or pharmaceutical industry
- Experience with data governance and management
- Excellent communication skills, able to simplify complex messages
- Ability to work independently and understand business processes
Nice to Have:
- Python programming skills
- Experience with Collibra for data governance documentation
- Power BI for reporting
- Experience with GxP regulations and validation processes
- Written and spoken French
Language Requirements:
- Written English required
- French is a strong plus (preferred for stakeholder interactions, but not strictly mandatory)
Homeworking Policy:
- Hybrid: 2 days on-site, 3 days remote
- Full time
- Temps de travail : Temps plein
- Type de contrat : Durée indéterminée
- Famille de métiers : Informatique / Services informatiques
Description de l'entreprise
ATCON is a Belgium-based IT consulting firm established with a vision to empower businesses using the latest technologies and provide best-in-class services to our clients. We support as an end-to-end IT solutions partner for digitalizing business processes and making the data meaningful. Our approach is more solution-driven than technology one, focused to solve business challenges and deliver results. We do what is right for our clients and charge based on what we deliver not on billing hours. Our team consists of self-motivated consultants with an agile mindset, global work exposure, and commitment to deliver the best services.Description de la fonction
Location: Anderlecht/BraineLanguages: English and French
Employment Type: Freelance
Start Date: ASAP
Context of the mission/Objective(s) of the job:
- Mission within client's Vision program, a major supply chain initiative focused on identifying and managing critical business data elements to improve process efficiency and business operations.
- Team is responsible for establishing data governance and management practices, onboarding top management, developing procedures and training, and implementing data governance within the organization.
- The project involves setting up data quality rules for ~700 business terms, each requiring 2-5 business rules to be coded and automated.
Responsibilities.
- Understand business quality standards and translate them to technical data quality requirements
- Analyze the data to identify existing patterns / data quality rules
- Develop and test data quality rules in mainly in SQL (also Python)
- Communicate and report data quality metrics, namely in Power BI
- Document data quality requirements and support business quality definition in Collibra
- Advocate for data quality good practices
- Support business stakeholders to use the data quality tools, and to leverage them to improve the quality of their data.
Requirements.
Years of Experience: 3-8 years
Must Have
- Strong proficiency in SQL (Oracle flavor)
- Experience in data management and programming (minimum 1-2 years)
- Ability to translate business rules into technical code
- Autonomy and initiative
- Analytical thinking and meticulous organization
Ideal Candidate:
- Experience in supply chain data and/or pharmaceutical industry
- Experience with data governance and management
- Excellent communication skills, able to simplify complex messages
- Ability to work independently and understand business processes
Nice to Have:
- Python programming skills
- Experience with Collibra for data governance documentation
- Power BI for reporting
- Experience with GxP regulations and validation processes
- Written and spoken French
Language Requirements:
- Written English required
- French is a strong plus (preferred for stakeholder interactions, but not strictly mandatory)
Homeworking Policy:
- Hybrid: 2 days on-site, 3 days remote
- Full time
Compétences linguistiques
-
Anglais (atout)
- Comprendre : Expérimenté - (C1)
- Écrire : Expérimenté - (C1)
- Lire : Expérimenté - (C1)
- Parler : Expérimenté - (C1)
-
Français (atout)
- Comprendre : Expérimenté - (C1)
- Écrire : Expérimenté - (C1)
- Lire : Expérimenté - (C1)
- Parler : Expérimenté - (C1)
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Si vous avez une remarque sur cette offre, n'hésitez pas à nous la communiquer via ce formulaire de contact.
Attention, un employeur ne peut pas vous demander de lui communiquer des données sensibles. En savoir plus.
Si vous avez une remarque sur cette offre, n'hésitez pas à nous la communiquer via ce formulaire de contact.
Comment postuler ?
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Nom de l'employeur
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ATCON GLOBAL
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Personne de contact
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HR Department Atcon Global
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Mode de présentation
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postuler via le site Web
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Website
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Site de l’employeur |