Commodities Data Analyst Intern (Fintech)

TL;DR

Commodities Data Analyst Intern (Python/SQL): Analyzing key performance metrics and optimizing data workflows for agricultural hedging and investment derivatives with an accent on data automation and dataset cleaning. Focus on monitoring performance indicators, improving datasets using Python and SQL, and enhancing reporting efficiency.

Location: Must be based in Paris, France

Company

hirify.global is a major pan-European market infrastructure provider specializing in commodities and financial derivatives.

What you will do

• Monitor and analyze key performance indicators including volumes, open interest, and member engagement.
• Collect, clean, and update relevant datasets using Python and SQL to improve data quality.
• Automate internal processes and presentations to enhance reporting efficiency.
• Support the growth of the commodities franchise through data-driven analysis.
• Collaborate with a multicultural team based in Paris and Amsterdam.

Requirements

• Currently enrolled in a Master 1 / Bac+4 (or equivalent) program in Business or Engineering.
• French and English: Professional proficiency (C1 level or native) required.
• Solid knowledge of Python (specifically Pandas and Matplotlib) and SQL.
• Advanced proficiency in Microsoft Office, especially Excel (pivot tables and lookup functions).
• Strong interest in commodities markets.
• Availability to start in July 2026 in Paris.

Nice to have

• Familiarity with Dataiku.

Culture & Benefits

• Hands-on experience in a dynamic, international commodities market environment.
• Opportunity to develop technical and analytical skills essential for financial market careers.
• Collaboration within a diverse, multicultural professional team.