Uni Systems

Business Analyst, AI

Uni Systems

full-time

Posted on:

Origin:  • 🇧🇪 Belgium

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Job Level

Mid-LevelSenior

Tech Stack

HadoopMongoDBNoSQLPerlPythonSQL

About the role

  • Collect business requirements and analyse advanced AI solutions or existing data mining, machine learning and business intelligence solutions
  • Develop detailed application mock-ups using design tools aligned with business objectives and user needs
  • Analyse large datasets to uncover actionable insights
  • Ensure strict compliance with GDPR and emerging AI regulations in all stages of data processing
  • Facilitate communication and collaboration between business stakeholders, data scientists, and IT developers
  • Conduct user acceptance testing to meet business requirements
  • Specify and design presentation interfaces with optimal usability/user experience
  • Produce data models according to specific problem statements
  • Contribute to design and implementation of analytics architecture and solution stack (performance, physical design, capacity)
  • Write documentation 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 continuously track their performance
  • Perform data mining using state-of-the-art methods
  • Process, cleanse, and verify integrity of data used for analysis
  • Participate in design of IT architecture for NLP/ML/AI solutions and coordinate implementation considering master- and meta-data management
  • Analyse data architecture for consistency, completeness, accuracy and reasonableness
  • Contribute to analysis of data management vision, strategy and policy and derive IT requirements
  • Analyse and document business requirements
  • Perform business model and process analysis, including modelling
  • Conduct functional requirements and business case analysis
  • Perform risk analysis
  • Assist in business cases, vision documents, project charters and security plans

Requirements

  • Expertise in machine learning techniques and algorithms, and Large Language Models
  • Experience in predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection, recommendation systems
  • Knowledge of graph databases
  • Application UI/UX design
  • NLP systems lifecycle and agile software development methodologies
  • Data analytics over big datasets, non-structured databases and data lakes
  • Knowledge of information systems and large organisation administrative business processes
  • Analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams, etc.)
  • BPMN, UML or equivalent
  • Experience with wiki and collaborative sites
  • Familiarity with software development methodologies (e.g., RUP, Agile)
  • Data analytics techniques and tools
  • Experience in machine learning and natural language processing
  • Programming in R, Python, PERL
  • SQL tooling and NoSQL (MongoDB, Hadoop, SQL)
  • Architectural design and implementation of scalable modern data stores
  • Strong capacity in preparing and writing business analysis
  • Ability to address both business and technical audiences
  • High-level presentation skills
  • Communication and interpersonal skills to collaborate with cross-functional teams, conduct training sessions, and promote data governance best practices
  • Language requirements: English C1 and French B1+