Eu - Business Analyst - Brussels - European

il y a 2 semaines

Bruxelles, Région de Bruxelles, Belgique The White Team Temps plein

DESCRIPTION OF THE TASKS:

Following tasks will be performed by external service provider:

  • 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
  • Produces 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 crossproject 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;
  • Creating automated anomaly detection systems and constant tracking of its performance;
  • Data mining using stateoftheart methods;
  • 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;

  • 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 of Business requirements.
  • Documentation of Business requirements.
  • Business model analysis.
  • Business process analysis.
  • Business processes modelling
  • Functional requirements and business cases analysis.
  • Risk analysis.
  • Assistance in Business cases, Vision documents, Project Charters and Security Plans.

LEVEL OF EDUCATION:


As stated in the Article of DIGIT-TM II Service requirements, a minimum educational qualification for lot 2 is: Level of education corresponding to Level 6 of the European Qualification Framework which typically corresponds to a bachelor degree of 3 years.


KNOWLEDGE AND SKILLS:

Following skills and knowledge are required for the performance of the above listed tasks:

  • Good knowledge of natural language processing systems lifecycle and agile software development methodologies.
  • Experience in the field of corpusbased linguistics.
  • Experience with alignment models and classification methods.
  • Experience with data analytics over big datasets, nonstructured 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 business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData )
  • Expertise in the ETL processes and tools (SAS, Talend Open Studio )
  • Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL)
  • Knowledge of architectural design and implementation of scalable modern data stores.
  • Rapid selfstarting capability.
  • Excellent interpersonal and communication skills.
  • Strong capacity in preparing and writing business analysis.
  • Capability to speak to business and technical audiences.
  • Strong capacity to give highlevel presentations.
  • Excellent critical thinker, by using logic and reasoning to identify strengths and weaknesses of alternative solutions.
  • Capability of integration in an international/multicultural environment, rapid selfstarting capability and experience in working in team;
  • Ability to participate in multilingual meetings;
  • Ability to work in multicultural environment, on multiple large projects;
  • Excellent Team Player;
  • Ability to understand, speak and write English C2, French B2+ would be recommended;

SPECIFIC EXPERTISE:

  • Excellent knowledge of machine learning techniques and algorithms, such as kNN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
  • Knowledge of Large Language Models.
  • Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems
  • Knowledge of Graph Databases.

CERTIFICATIONS & STANDARDS:

Following certificates & standards are required for the performance of tasks: NA

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