Business Analyst

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)