IT & Data Analyst Apprentice

General information

Job Title
IT \& Data Analyst Apprentice
Ref \#
20001521
Employment Type
Internship
Department
Information Technology
Position level
Apprentice
Date
Thursday, June 11, 2026
AESC Office Location
Douai, Hauts\-de\-France, France

Description \& Requirements

Job Description
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

• Work closely with business teams to understand needs


• Document processes, reports, and solutions implemented


• Participate in ongoing IT and digital transformation projects

• 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

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

• 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

• 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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