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.