Euronext - Commodities data analyst intern

Deadline: As soon as possible

Internships

Companies

Location(s)

  • France
Paris

Overview

We are seeking a motivated Commodities Data Analyst Intern to join the Euronext Commodities team in Paris. Our small, multicultural team, based across Amsterdam and Paris, is dedicated to developing hedging and investment derivatives for the agricultural sector and beyond. As an intern, you will support the team’s analysis of key performance metrics, automate internal processes, and optimize data workflows to drive the performance and growth of our franchise.

Details

Key Responsibilities

  • Monitor and analyze performance indicators (e.g., volumes, open interest, member engagement, functionalities).
  • Maintain and improve relevant datasets by collecting, cleaning, and updating data using Python and SQL.
  • Automate processes and presentations to enhance efficiency and reporting.

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

Profile & Requirements

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

Dates

Deadline: As soon as possible


Cost/funding for participants

What We Offer

  • Hands-on experience in a dynamic, international commodities market environment.
  • Collaboration with a diverse team of professionals across multiple locations.
  • Opportunities to develop technical and analytical skills crucial for a career in financial markets.

If you are passionate about commodities and eager to gain practical experience in data analysis, we look forward to receiving your application!

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