AI Business Analyst chez Uni Systems

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

Requirements

What do you need to succeed in this position?

• Expertise in machine learning techniques and algorithms, and Large Language Models.
• Experience in predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems.
• Knowledge of graph databases.
• Application UI/UX design.
• NLP systems lifecycle and agile software development methodologies.
• Data analytics over big datasets, non-structured databases as well as data lakes.
• Information systems and large organisation administrative business processes.
• Analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams, etc.).
• BPMN, UML or equivalent.
• Wiki and collaborative sites.
• Software development methodologies (e.g., RUP, Agile).
• Data analytics techniques and tools.
• Experience in machine learning and natural language processing.
• Programming in R, Python, PERL.
• SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL).
• Architectural design and implementation of scalable modern data stores.
• Strong capacity in preparing and writing business analysis.
• Ability to address both business and technical audiences.
• High-level presentation skills.
• Communication and interpersonal skills to collaborate with cross-functional teams, conduct training sessions, and promote data governance best practices.
• English C1 and French +B1.

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.