Context and Mission:

As part of strengthening our IT team and supporting business performance through data, we are looking for an IT & Data Analyst Apprentice.

The apprentice will contribute to data analytics activities (dashboarding, reporting, data processing).

Main Responsibilities:

Data & Analytics

• Assist in gathering business requirements and supporting reporting needs
• Develop and maintain dashboards (mainly using FineReport, and occasionally Power BI)
• Write and optimize SQL queries for data extraction and transformation
• Participate in data analysis tasks and contribute to performance monitoring
• Support data preparation and data engineering tasks (Using Python)
• Participate in the implementation of ETL processes (data extraction, transformation, and loading)
• Ensure data consistency and reliability

Cross-functional Activities

• Work closely with business teams to understand needs
• Document processes, reports, and solutions implemented
• Participate in ongoing IT and digital transformation projects

Profile Required :

• Currently pursuing a degree in IT, Data, or Engineering (Bac+3 to Bac+5)
• Strong interest in both data analysis and IT systems/infrastructure
• Good proficiency in SQL (mandatory)
• Good proficiency in Python
• Familiarity with data visualization tools (Power BI or equivalent)
• Understanding of IT fundamentals (network, systems, support)
• Analytical mindset and problem-solving skills
• Ability to learn quickly and work autonomously
• Good communication skills
• Working language : English

Additional Assets :

Data & BI

• Knowledge of FineReport (or willingness to learn)
• Understanding of ETL concepts and data pipelines
• Familiarity with AI-assisted reporting and data visualization solutions
• Knowledge of Python libraries used in data science and AI (Pandas, NumPy, Scikit-learn, etc.)
• Interest in AI-driven data analytics and automation tools
• Curiosity about automation, predictive analytics, and smart data solutions

AI & Innovation

• Basic understanding of Artificial Intelligence and Machine Learning concepts
• Awareness of Generative AI tools in business environments
• First exposure to AI projects, academic work, or personal experimentation is a plus
• Ability to identify opportunities where AI can improve operational efficiency and reporting processes
• Understanding of data quality and ethical considerations in AI usage

IT & Cybersecurity

• First experience (internship/school project) in IT support or data analysis
• Awareness of cybersecurity principles
• Interest in cybersecurity challenges related to AI and data protection