AI Business Analyst, Uni Systems, BE

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional AI Business Analyst to join our UniQue Brussels team

What will you be bringing to the team?

• Collect business requirements and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solutions.
• Develop detailed application mock-ups using design tools, ensuring alignment with business objectives and user needs.
• Analyse large datasets to uncover actionable insights.
• Ensure strict compliance with GDPR and emerging AI regulations in all stages of data processing.
• Facilitate effective communication and collaboration between business stakeholders, data scientists, and IT developers.
• Conduct user acceptance testing to meet business requirements.
• Specification and design of presentation interfaces with optimal usability/user experience.
• Produce data models according to specific problem statements.
• Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions, etc.).
• Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
• Interact with data stewards and other IT stakeholders to define the data rules.
• Define data controls and implement actions to ensure data quality and integrity.
• Create automated anomaly detection systems and constant tracking of their performance.
• Data mining using state-of-the-art methods.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Participate in the design of IT architecture for solutions in the NLP / ML / AI fields and coordinate its implementation considering master- and meta-data management concepts.
• Analyse data architecture for consistency, completeness, accuracy and reasonableness.
• Contribute to the analysis of data management vision, strategy and policy and derive the IT requirements.
• Analysis and documentation of business requirements.
• Business model and process analysis, including modelling.
• Functional requirements and business case analysis.
• Risk analysis.
• Assistance in business cases, vision documents, project charters and security plans