Business Analyst (AI tools)

On behalf of our partner we would like to find an expert for the role below!

Join a leading European institution in delivering large-scale, innovative data solutions to support policy-making and operational efficiency across multiple sectors. You will contribute to forward looking data platform initiative that handles massive volumes of structured and unstructured information, leveraging cloud-native and open-source technologies.

IT Business Analyst (AI tools)

Key Responsibilities

• Gather, analyse, and formalize business requirements, translating them into AI, machine

learning, data mining, or business intelligence solutions.

• Evaluate and assess existing advanced analytics tools and propose optimal AI-driven

approaches aligned with organizational objectives.

• Design detailed application mock-ups and presentation interfaces, ensuring high usability

and strong user experience.

• Analyse large and complex datasets to extract meaningful insights and support data-

driven decision-making.

• Ensure full compliance with GDPR and emerging AI regulations throughout the data

lifecycle.

• Act as a liaison between business stakeholders, data scientists, IT teams, and data

stewards to ensure clear communication and alignment.

• Conduct user acceptance testing (UAT) to validate that developed solutions meet

business expectations.

• Develop data models tailored to specific problem statements and analytical use cases.

• Contribute to the design and implementation of analytics architectures, including

scalability, performance optimization, capacity planning, and physical data design.

• Define and implement data governance controls to ensure data quality, integrity,

consistency, and completeness.

• Design and monitor automated anomaly detection systems and track their performance

over time.

• Perform advanced data mining and ensure robust data processing, cleansing, and

validation practices.

• Participate in the design and coordination of IT architectures for NLP, ML, and AI-based

solutions, integrating master data and metadata management principles.

• Analyse overall data architecture to assess its reliability, coherence, and alignment with

enterprise data strategy.

• Contribute to shaping the organization’s data management vision, strategy, and policies,

translating them into technical requirements.

• Produce comprehensive documentation and collaborate across project teams to manage

interdependencies.

Required Expertise

• Strong understanding of the NLP system lifecycle and Agile software development

methodologies.

• Proven experience working with large-scale datasets, non-structured data sources, and

data lake environments.

• Solid knowledge of enterprise information systems and large organizational administrative

processes.• Proficiency in analysis and modelling techniques (use case diagrams, state diagrams, ER

models, interaction diagrams, BPMN, UML, or equivalent).

• Experience with collaborative tools and knowledge management platforms (e.g., Wiki

environments).

• Excellent knowledge of data analytics techniques and tools.

• Practical experience in Machine Learning and Natural Language Processing.

• Proficiency in programming languages such as Python, R, or PERL.

• Strong SQL knowledge, including exposure to NoSQL databases, MongoDB, Hadoop, or

similar technologies.

• Experience in designing and implementing scalable, modern data storage architectures.

• Ability to work independently with strong self-initiative.

• Excellent business analysis documentation and presentation skills.

• Strong communication skills with the ability to engage both technical and non-technical

audiences.

• Demonstrated critical thinking and problem-solving abilities to evaluate alternative technical solutions

Working form: employment contract

Location: Hybrid(Brussels)