Business Analyst

My client is looking for a good Business Analyst for a long term mission based remotely 50% in Brussels

Tasks

• Collect business requirements and analyze advanced AI solutions or identify and assess relevant existing data mining, machine learning, and business intelligence solutions.

• Specify and design presentation interfaces with optimal usability/user experience.

• Produce data models according to specific problem 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 necessary documentation associated with the tasks and liaise with other project teams to address cross-project interdependencies.

• Interact with data stewards and other IT stakeholders to define data rules.

• Define data controls and implement actions to ensure data quality and integrity.

• Create automated anomaly detection systems and constantly track their performance.

• Perform data mining using state-of-the-art methods.

• Process, cleanse, and verify the integrity of data used for analysis.

• Participate in designing IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master and meta-data management concepts.

• Analyze data architecture for consistency, completeness, accuracy, and reasonableness.

• Contribute to the analysis of data management vision, strategy, and policy and derive the IT requirements.

• Analyze business requirements.

• Document business requirements.

• Conduct business model analysis.

• Conduct business process analysis.

• Model business processes.

• Analyze functional requirements and business cases.

• Conduct risk analysis.

• Assist in Business cases, Vision documents, Project Charters, and Security Plans.

KNOWLEDGE AND SKILLS

• 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 organization administrative business processes.

• Good knowledge of analysis/modeling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams, etc.).

• Good knowledge of BPMN or UML or other equivalent tools.

• 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).

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