Job Specifications
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)
About the Company
Digital Service Group was established in 2009 in Hungary. More than fifteen years of wide ranging experience has given the company the confidence to guarantee qualitative services.
The company offers services in information and business technology with a main focus on business development, business optimization and IT outsourcing services.
Our key values are represented in our service delivery processes and our belief of growth in the future.
- Take the Initiative: Ask the right questions, make the right conclusions
- Ac...
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