Business Analyst at COSMOTE GLOBAL SOLUTIONS NV

Brussels, Brussels-Capital, Belgium -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Requirements Collection, AI Solutions Analysis, Data Mining, Machine Learning, Business Intelligence, Application Mock-ups, Data Analysis, GDPR Compliance, AI Regulations, Stakeholder Communication, User Acceptance Testing, Data Modeling, Analytics Architecture, Data Quality, Anomaly Detection, NLP

Industry

IT Services and IT Consulting

Description

Join COSMOTE Global Solutions as a Business Analyst and become a vital contributor to our dynamic team! In this role, you will: 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. Analyze 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. Essential Qualifications: Bachelor’s Degree in IT or a related field At least 17 years of experience in IT Excellent knowledge of machine learning techniques and algorithms, and 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. Knowledge of application UI/UX design. Additional Desired Requirements: Good knowledge of natural language processing systems lifecycle and agile software development methodologies. 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 SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL) Knowledge of architectural design and implementation of scalable modern data stores. Rapid self-starting capability. Strong capacity in preparing and writing business analysis. Capability to speak to business and technical audiences. Strong capacity to give high-level presentations. Excellent critical thinker, by using logic and reasoning to identify strengths and weaknesses of alternative solutions. Excellent communication and interpersonal skills to collaborate with cross-functional teams, conduct training sessions, and promote data governance best practices. Capability of integration in an international/multicultural environment, rapid self-starting capability and experience in working in team. Ability to participate in multilingual meetings. Ability to work in multi-cultural environment, on multiple large projects. Excellent Team Player. Ability to understand, speak and write English C1 and French +B1.

Responsibilities

The Business Analyst will be responsible for collecting and analyzing business requirements related to advanced AI solutions, developing application mock-ups, and analyzing large datasets to derive actionable insights. This role also involves ensuring GDPR compliance, facilitating communication between technical and business teams, and designing presentation interfaces.