Hybrid AI Business Analyst

at Uni Systems

• Job title: AI Business Analyst
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Hadoop, MongoDB, NoSQL, Perl, Python, SQL
• Location requirements: Hybrid, Brussels, Belgium

About the role

• AI Business Analyst at Uni Systems collecting business requirements and analyzing advanced AI solutions. Ensuring compliance with GDPR and collaborating with stakeholders on data projects.

Responsibilities

• Collect business requirements and analyze advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solutions.
• Develop detailed application mock-ups using design tools, ensuring alignment with business objectives and user needs.
• Analyze large datasets to uncover actionable insights.
• Ensure strict compliance with GDPR and emerging AI regulations in all stages of data processing.
• Facilitate effective communication and collaboration between business stakeholders, data scientists, and IT developers.
• Conduct user acceptance testing to meet business requirements.
• Specification and design of 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 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.
• Create 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.
• Participates in the design of the IT architecture for solutions in the NLP / ML / AI fields and coordinates its implementation considering master- and meta-data management concepts.
• Analyze 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.

Requirements

• Master's degree in IT with minimum 11 years of relevant experience (or Bachelor's degree and minimum of 15 years relevant experience).
• Good knowledge of natural language processing systems lifecycle and agile software development methodologies.
• 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 SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL)
• Knowledge of architectural design and implementation of scalable modern data stores.
• Proficiency in English at least at level B2.