Business Analyst with experience in AI - Deadline 25/06/25

DESCRIPTION OF THE TASKS:

•  Collect business requirement and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solution

•  Specification and design of presentation interfaces with optimal usability/user experience 

•  Produces 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;

•  Creating 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;  Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields

•  Analyse data architecture for consistency, completeness, accuracy and reasonableness;

•  Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements;

•  Analysis of Business requirements.

•  Documentation of Business requirements.

•  Business model analysis.

•  Business process analysis.

•  Business processes modelling

•  Functional requirements and business cases analysis.

•  Risk analysis.

•  Assistance in Business cases, Vision documents, Project Charters and Security Plans.

LEVEL OF EDUCATION: Bachelor or Master Degree

KNOWLEDGE AND SKILLS:

•  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 organisation administrative business processes.

•  Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams etc.).

•  Good knowledge of BPMN or UML or other with equivalent value.

•  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. 

SPECIFIC EXPERTISE:

•  Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.

•  Knowledge of Large Language Models.

•  Knowledge in one of the following areas: 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. 

Levels: 10

Delivery mode : Near Site (Brussels)