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Senior business analyst

Bruxelles
Business analyst
Publiée le Publiée il y a 16 h
Description de l'offre

At Infotree, meeting your career needs is a top priority. Client satisfaction is largely dependent on the resources we can provide, and we take pride in our delivery. We have a supportive team in place to give quality people a chance to grow and challenge themselves in their roles which has resulted in that we have placed many employees in positions that have grown into lifelong careers.

We have a team of dedicated recruiters and consultant care representatives that are committed to your success and well-being. Check out our open roles to get started.

Infotree Poland Sp. z o.o. is part of Infotree Global Solutions. Agency number: 15970.

For our client, we are looking for a Senior Business Analyst with very good AI knowledge.

Location: Brussels or surroundings

Work model: hybrid (maximum 5 days/month on site)

Type of collaboration: B2B

ABOUT OUR CLIENT

Our client is a global consultancy company, with a strong focus on digital learning and educational innovation.

Leveraging expertise in cloud infrastructure, learning management systems, and user experience design, among others, they support public sector clients, in building future-ready platforms that enables accessible, scalable, and effective learning.


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 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;

• Creating 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;

• 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.


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 corpus-based linguistics;

• Experience with alignment models and classification methods;

• 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 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;

• Bachelor's degree.

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