Senior Business Analyst with AI knowledge

For an European institution in Brussels, Belgium, we are looking for a Senior Business Analyst with AI knowledge. Candidates need to be based in Belgium or willing to relocate to Brussels when coming from abroad. Candidates need to be fluent in English. A work permit is required, but not provided. This position is open for contractors. Tasks and Responsibilities: 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 problems 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 its performance; Data mining using state-of-the-art methods; Processing, cleansing, and verifying the integrity of data used for analysis; Participates in the design of the IT architecture for solutions in the NLP / ML / AI fields and coordinates its implementation considering master- and meta-data management concepts; Analyse data architecture for consistency, completeness, accuracy and reasonableness; Contributing for the analysis of data management vision, strategy and policy and derive the IT requirement; Analysis of Business requirements; Profile: Bachelor or Master degree; +9 years experience as Business Analyst; +2 years of experience in AI, Machine Learning, Natural Language Processing and/or Large Language Models; Good knowledge of natural language processing systems lifecycle and agile software development methodologies; Experience in the field of corpus-based linguistics; Experience with alignment models and classification methods; Experience with data analytics over big datasets, non-structured databases as well as data lakes; Good knowledge of information systems matters; Good knowledge of large organization administrative business processes; Good knowledge of analysis/modeling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams, etc.); Good knowledge of BPMN or UML or other equivalent tools; Good knowledge of Wiki and collaborative sites; Knowledge of software development methodologies (e.g., RUP, Agile); Excellent knowledge of Data Analytics techniques and tools; Experience in Machine Learning and Natural Language Processing; Experience with languages like R, Python, PERL; Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData…); Expertise in the ETL processes and tools (SAS, Talend Open Studio…); Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL); Knowledge of architectural design and implementation of scalable modern data stores; Fluent in English; Fluent in English; Following countries are part of the European Union: Austria, Belgium, Bulgaria, Croatia, Republic of Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain and Sweden.