ESG Data Analytics Intern (Brussels – Hybrid)

Data4Green; Brussel Hoofdstad; Hybride; EUR 8 900 - 13 000; Plein temps

Avantages offerts par ce poste

Hands-on data projects

Mentorship from analysts/engineers

Exposure to analytics/AI workflows

Skill development opportunities

Collaborative culture

Résumé du poste

Data4Green is seeking a Data Intern to help build and maintain datasets, prepare reports, and support analytics and AI projects. You will work with experienced analysts and engineers, learning the full data lifecycle in a real-world, impact-driven context.

Ideal candidates are curious, proactive, and eager to learn about data, ESG, and sustainability, with basic experience in Python, SQL, Excel, and data visualization tools.

Qualifications

• Current student or recent graduate in Data Science, Computer Science, Statistics, Sustainability, or related field.
• Basic experience with Python, SQL, or Excel; knowledge of visualization tools (Tableau, Power BI) is a plus.
• Interest in ESG, sustainability, or business analytics.
• Strong curiosity, attention to detail, and willingness to learn quickly.
• Ability to collaborate and communicate effectively with a team.

Responsabilités

• Assist in building and maintaining datasets to support analytics projects.
• Prepare reports and dashboards to communicate findings.
• Support analytics and AI projects under guidance from experienced team members.
• Learn the full data lifecycle in a real-world context alongside analysts and engineers.

Connaissances

Python

SQL

Excel

Data visualization

Formation

Current student or recent graduate in Data Science, Computer Science, Statistics, Sustainability, or related field

Outils

Tableau

Power BI

Description du poste

Data4Green is seeking a Data Intern to help build and maintain datasets, prepare reports, and support analytics and AI projects. You will work with experienced analysts and engineers, learning the full data lifecycle in a real-world, impact-driven context.

Ideal candidates are curious, proactive, and eager to learn about data, ESG, and sustainability, with basic experience in Python, SQL, Excel, and data visualization tools.