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Ben jij de BUSINESS ANALIST die we zoeken?

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Ben jij de BUSINESS ANALIST die we zoeken?

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)

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