How do I apply for the Commodities Data Analyst Intern position at Euronext and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Commodities Data Analyst Intern role?

This position is a full-time, structured as a on-site role.

What educational background or degree level is required for the Commodities Data Analyst Intern at Euronext?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, PhD.

Does Euronext provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Commodities Data Analyst Intern

Euronext

Found 1 week ago

Location

Paris, France

Time

Full-time

Work Mode

On-site

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 week ago

Education

Master
PhD

Skills & Qualifications

Technical Skills

Python
SQL
Pandas
Matplotlib
Dataiku

Soft Skills

Strong interest in commodities markets.
Excellent written and verbal communication skills
Strong organizational skills
attention to detail
ability to multitask effectively

Job Description

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.

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.

Data & Analytics

Data Analysis

Languages

French
English

Nice to Haves

Dataiku

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