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.