AI Business Analyst
Brussels, Brussels, Belgium
Uni Systems
At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for an AI Business Analyst to join our UniQue team.
What will you be doing in this role?
- Collect business requirement and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solution.
- Specify and design 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).
- 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.
- Process, clean, and verify the integrity of data used for analysis.
- Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts.
- Analyse 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 and documentation of Business and functional requirements, business cases and risk analysis.
- Assistance in Business cases, Vision documents, Project Charters and Security Plans.
Requirements
What do you need to succeed in this position?
- Master's Degree in IT field with minimum 13 years of relevant experience (or Bachelor's Degree with minimum 17 years experience).
- At least 2 years of experience in Machine Learning, Natural Language Processing and Large Language Models.
- At least 2 years of experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
- At least 2 years of experience with Data Analytics techniques, over big datasets, non-structured databases as well as data lakes.
- Minimum 1 year of experience in the ETL processes and tools (SAS, Talend Open Studio).
- Experience in the field of corpus-based linguistics.
- Experience with alignment models and classification methods.
- Experience with languages like R, Python, PERL.
- 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.
- Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData).
- Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL).
- Knowledge of architectural design and implementation of scalable modern data stores.
- Knowledge of software development methodologies (e.g., RUP, Agile).
- Knowledge of Graph Databases.
- Knowledge in one of the following areas: predictive, prescriptive, sentiment analysis, topic detection.
At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at for more information.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Business Intelligence Classification Data Analytics Data management Data Mining Data quality ETL Hadoop Linguistics LLMs Machine Learning MongoDB NLP NoSQL Perl Python Qlik R SAS Security SQL Tableau Talend
Perks/benefits: Career development
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