Business Analyst (AI)

European Dynamics

Brussels, Belgium

Your tasks

  • Collect business requirement and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solution;
  • Specification and design of presentation interfaces with optimal usability/user experience;
  • 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;
  • Define data controls and implement actions to ensure data quality and integrity;
  • Creating automated anomaly detection systems and ensure constant tracking;
  • Processing, cleansing, and verifying 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;
  • Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements.

Requirements

  • University degree in IT or relevant discipline, combined with minimum 13 years of relevant working experience in IT;
  • Experience in the field of corpus-based linguistics;
  • Experience with alignment models and classification methods;
  • Experience in Machine Learning and Natural Language Processing;
  • Experience with data analytics over big datasets, non-structured databases as well as data lakes;
  • Experience with languages like R, Python, PERL;
  • Expertise in the ETL processes and tools (SAS, Talend Open Studio, Tableau, Qlik, SAP, GoodData);
  • Good knowledge of natural language processing systems lifecycle and agile software development methodologies;
  • Good knowledge of analysis/modelling tools(BMPN,UML, or equivalent) and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams etc.);
  • Good knowledge of Wiki and collaborative sites;
  • Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL);
  • Knowledge of software development methodologies (e.g., RUP, Agile);
  • Excellent command of the English language.

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