Commodities Data Analytics Intern - Python & SQL Focus

Euronext; Paris; Sur place; EUR 13 000 - 19 000; Plein temps

Résumé du poste

Euronext is seeking a Commodities Data Analyst Intern to join the Commodities team in Paris starting January 2027. You will report to the Commodities Manager and contribute to data-driven insights across markets.

You will monitor KPIs, clean and expand datasets with Python and SQL, automate reporting, and support workflow improvements to drive the commodities franchise. Fluency in French and English and a passion for markets are required.

Qualifications

• Currently enrolled in a Master 1 / Bac+4 (or equivalent) programme in Business, Engineering or a related field.
• Strong interest in commodities markets and financial products.
• Advanced proficiency in Microsoft Office (Excel, including pivot tables and lookup functions, PowerPoint).
• Solid knowledge of Python (including Pandas and Matplotlib) and SQL.
• Familiarity with Dataiku is a plus.
• Excellent written and verbal communication skills in both French and English (professional proficiency, C1 level or native).
• Strong organisational skills, attention to detail and ability to multitask effectively.

Responsabilités

• Monitor and analyse key performance indicators such as trading volumes, open interest and member engagement.
• Maintain and improve datasets by collecting, cleaning and updating data using Python and SQL.
• Automate internal processes and presentations to enhance efficiency and reporting.
• Support the team in optimising data workflows to drive the performance and growth of the commodities franchise.

Connaissances

Commodities markets

Financial products

Python

SQL

Excel

French-English bilingual

Formation

Master 1 / Bac+4 in Business, Engineering or related field

Outils

Dataiku

Description du poste

Euronext is seeking a Commodities Data Analyst Intern to join the Commodities team in Paris starting January 2027. You will report to the Commodities Manager and contribute to data-driven insights across markets.

You will monitor KPIs, clean and expand datasets with Python and SQL, automate reporting, and support workflow improvements to drive the commodities franchise. Fluency in French and English and a passion for markets are required.