AI Business Analyst
Uni Systems
full-time
Posted on:
Location Type: Hybrid
Location: Brussels • Belgium
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About the role
- Collect business requirements and analyze 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.
- Analyze 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.
Requirements
- Master's degree in IT with minimum 11 years of relevant experience (or Bachelor's degree and minimum of 15 years relevant experience).
- 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.
- Proficiency in English at least at level B2.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data miningmachine learningnatural language processingdata analyticsdata modelingdata qualityautomated anomaly detectionSQLRPython
Soft Skills
communicationcollaborationuser acceptance testingproblem-solvingstakeholder management
Certifications
Master's degree in ITBachelor's degree in IT