AI Business Analyst

Requirements

What do you need to succeed in this position?

• 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 in datasets, 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 as well as data lakes.
• 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.
• Wiki and collaborative sites.
• 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 (NoSQL DB, 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.
• English C1 and French +B1.

Thank you very much!