Business Analyst
Il y a 1 jour
Kontich, Flanders, Belgique
Equal-Plus
Salaire
Temps plein
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Job Description
Equal Plus Consulting has been engaged to search for a Business Analyst (junior-medior) to work for a client based in Kontich Belgium.TITLE Business Analyst (junior-medior)
START DATE 1 Jan 2027
END DATE 30 Jun 2027
LOCATION Kontich Belgium – Hybrid/Partially on-site
LANGUAGES English
Candidates must be local and able to work onsite/hybrid.
Role Purpose
The Business Analyst is responsible for supporting the Security Information Protection team with the discovery, identification and classification of the business’ “critical” data.
The role acts as a bridge between business stakeholders, operational teams, technology teams, and data owners to ensure that data is managed consistently, securely, and in accordance with business requirements and regulatory obligations.
The successful candidate possesses strong business process analysis skills and a deep understanding of how data is created, processed, stored, shared, retained, and disposed of throughout its lifecycle. They will play a key role in documenting business processes, identifying risks, improving quality, and embedding governance controls across the organisation.
Key Responsibilities
Stakeholder Management
Engage with business teams, risk functions, compliance teams, technology teams, and data owners.
Facilitate workshops and requirements gathering sessions.
Present findings, recommendations, and governance reports to stakeholders at all levels.
Data Governance
Assist in defining and documenting data ownership, stewardship responsibilities, and accountability models.
Business Process Analysis
Analyse and document end-to-end business processes and associated data flows.
Translate business requirements into governance and data management requirements.
Ensure business processes align with data governance policies and regulatory obligations.
Data Handling and Data Lifecycle Management
Document how data is collected, processed, stored, transferred, shared, retained, archived, and disposed of.
Assess data handling practices against internal policies and external regulations.
Support data classification and information management initiatives.
Identify risks relating to sensitive, confidential, personal, or regulated information.
Recommend improvements to data handling controls and operating procedures.
Required Experience
Essential
minimum 1 year experience as a Business Analyst, IT Data Lifecycle Management Analyst, or similar role in an international regulated environment.
Demonstrable experience analysing and documenting business processes.
Strong understanding of data handling processes and data lifecycle management.
Strong stakeholder management and workshop facilitation skills.
Experience identifying business risks, control gaps, and process improvement opportunities.
Excellent written and verbal communication skills.
Experience developing process maps, workflows, business requirements, and operating procedures.
Experience working with data governance, data quality, or information management initiatives.
Desirable
Experience supporting GDPR, data protection, information security, or compliance programmes.
Experience with Microsoft Purview, Microsoft SharePoint, Power BI, or equivalent governance tools.
Knowledge of master data management and data stewardship frameworks.
Experience supporting audit and compliance activities.
Technical Knowledge
Data Governance Frameworks
Data Lifecycle Management
Data Quality Management
Business Process Modelling (BPMN)
Data Mapping and Data Lineage
Risk and Control Assessment
Data Privacy and Protection Principles
Reporting and Dashboarding Tools
Microsoft 365 and Data Management Technologies
Success Measures
The successful candidate will:
Improve data quality and governance maturity across the organization.
Increase visibility of data ownership and accountability.
Ensure critical business processes have documented data flows and governance controls.
Reduce data-related risks and compliance gaps.
Deliver actionable recommendations that improve operational efficiency and data handling practices.