alternant(e) Data Analyst ou Ingénieur Industriel 4.0

About Safran SEATS

Safran SEATS is a world leader in aircraft seats for crews and passengers. Our clients: the largest airlines and aircraft manufacturers. Our product: the seat (from economy to business class, including crew seats). You may have already tested it while traveling with one of our client airlines; over a million of them are currently in flight! Our location: Issoudun (36), between Bourges and Châteauroux, near the Châteaux de Loire and Touraine (1h25 by car or train) in the Centre Val De Loire region and only 2h30 drive from Paris.

Role

As part of the development of our activities and the improvement of industrial performance and the MI support service, we are looking for an apprentice Data Analyst or Industrial Engineer 4.0 capable of exploiting and valuing data from industrial systems to support operational decision-making and industrial performance (KPIs, Dashboards, Reporting Decks, etc.).

The objectives of the apprenticeship are to improve visibility on industrial performance (KPIs, Dashboards, Reporting Decks, etc.), develop data-based decision support tools, and contribute to the data transformation of the Industrial Brand Support service.

Missions

Here are the missions for the position:

1. Collect and structure data from industrial systems (ERP, MES, production databases).
2. Analyze production data to identify performance improvement levers.
3. Design and maintain monitoring dashboards (industrial KPIs).
4. Automate certain processes and reports.
5. Participate in data-driven industrial process optimization projects.
6. Collaborate primarily with the Industrial Brand, Supply Chain, and Data teams.
7. Assist the Data Analyst of the support service.

Qualifications

You are a student in a Master's program or engineering school in the field of Data, IT, Industrial Engineering, or Statistics. You have an appetite for the industrial/manufacturing environment, and you possess good data analysis and structuring skills. You enjoy working autonomously with operational teams.

Technical Skills

For this position, certain technical skills are expected:

• Python or R for data analysis
• SQL
• Power BI / Tableau / data visualization tools
• Snowflake
• Advanced Excel
• Knowledge of industrial data (MES, ERP, ...) appreciated
• Notions in statistics or data science