Stagiaire Data Transformation / Data Analytics – Data Transformation

Job Description

Ingénieur – Data & IA appliquées à la finance industrielle (PF… | Orano

The Tone:
This is a full-time internship at Orano, located in Pierrelatte, France. Orano is a leading international player in the nuclear sector, working on current and future challenges to power and preserve our world, build the one of tomorrow, and improve life for our communities. This role is crucial for transforming data into concrete solutions, supporting the evolution of financial tools—especially with the transition to SAP S/4HANA—to ensure data reliability, enhance its exploitation, and simplify daily tasks for the teams.

The TL;DR
• Role: Internship
• Type: Full-time, Six-month internship
• Location: In-person Pierrelatte, France (Auvergne-Rhône-Alpes)
• Team: Collaboration with business and information systems teams
• Mission: Fiabilize data, improve its exploitation, and design solutions to simplify daily tasks for teams, focusing on data analysis, reporting, and automation in industrial finance.
• Tech Stack: Excel, Power BI, DataIku, Microsoft 365 Copilot, SAP S/4HANA

What You’ll Actually Do
• Data Reliability: Analyze data sources, reference systems, and management rules to identify inconsistencies and propose suitable controls for SAP S/4HANA evolutions.
• Reporting & Visualization: Contribute to refactoring investment steering tools to make information more reliable and easier to exploit.
• Budgetary Simulation: Evolve tools for tracking dismantling projects, including monitoring costs to completion, annual forecasts, and personnel expenses.
• Automation & Generative AI: Explore solutions for assisting in the resolution of purchase-supplier process anomalies and test the automation of investment commissioning.
• Solution Development: Participate in analyzing existing systems, proposing solutions, conducting user tests, and documenting processes, from business needs to prototype.

The Must-Haves
• Background: Master’s Degree (Bac +5) in data analytics, data science, IT, statistics, information systems, or finance with a strong data component. Entry-Level.
• Experience: Six-month end-of-studies internship required, starting January 2027. A first practice of Power BI or data preparation and visualization tools is appreciated.
• Skills: Ability to explore, structure, transform, and interpret data; strong proficiency in Excel; interest in automation, DataIku, Microsoft 365 Copilot, and concrete uses of generative AI; rigor for verifying results; curiosity for understanding business needs; capacity to propose pragmatic solutions; strong interpersonal skills for working with business and technical stakeholders.
• Bonus: Knowledge of SAP or SAP S/4HANA is a plus, but not essential. Prior specialization in accounting or management control is not necessary.