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Business Analyst 

Start Date: Immediate

End Date: To be determined

Location: Brussel

Responsibilities:

• Gather, analyze, prioritize, and document business and data requirements.
• Translate redesigned processes into clear user stories and actionable requirements.
• Map data flows, data sets, and business processes.
• Facilitate workshops, interviews, stakeholder discussions, and requirement validation sessions.
• Maintain and manage backlog items, reporting activities, process maps, and supporting documentation.
• Collaborate with business stakeholders, SMEs, architects, developers, and technology teams to ensure successful solution delivery.
• Support the implementation of data platforms and digital capabilities, including AI-assisted solutions, automated report generation, centralized data repositories, and agentic workflows.
• Ensure alignment between business requirements, enterprise standards, and data governance principles.
• Assess risks and support decision-making throughout the project lifecycle.
• Produce and maintain high-quality documentation such as process maps, data models, and communication materials.
• Contribute to the implementation of real-time and automated data flows, reducing manual data handling and improving data quality and usability.

Required Qualifications and Experience:

• Proven business analysis experience, including requirements gathering, stakeholder management, and process analysis.
• Experience translating business needs into user stories, requirements, and digital solutions.
• Experience working with technology, data, architecture, or development teams.
• Strong stakeholder engagement skills, including interactions with senior stakeholders.
• Excellent English communication skills.
• Ability to work autonomously and proactively within agile squads.
• Experience with data mapping, data flows, and data management concepts.

Desired Skills:

• Experience supporting digital transformation or business transformation programs.
• Exposure to data foundations and modern data platforms such as Snowflake or Databricks.
• Experience with AI-enabled, agentic, or automation-focused solutions.
• Knowledge of data principles.
• Experience with centralized data repositories, metadata management, or data governance initiatives.
• Experience accelerating or optimizing processes.