AESC

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

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