Luxembourgish National Data Science & Analytics Trainee

EUROPEAN SPACE AGENCY; Frascati; Vor Ort; EUR 20.000 - 32.000; Vollzeit

Zusammenfassung

The European Space Agency invites applications for a Luxembourgish National Graduate Trainee in Business Analytics and Data Science. The programme offers recent Master’s graduates hands‑on experience across space‑related disciplines and is funded by partner States, with selection influenced by background in space policies.

Your tasks include data analytics, planning support, governance of master data, and cross‑functional collaboration to improve processes.

Qualifikationen

• Recently completed or in final year of a master's degree in data science or related fields.
• Knowledge of data governance and master data management is desirable.
• Strong analytical and problem-solving abilities.

Aufgaben

• Business controlling: provide data science and analytics support for controlling.
• Financial and resource planning: assist in planning exercises.
• Business analytics and processes: prototype ways to improve efficiency.
• Data maintenance and quality: create and structure master data.
• Data governance and process: develop the data entry model for standards.
• Cross-functional collaboration: improve IT/business data alignment.
• Automation: apply digital solutions for master data operations.

Kenntnisse

Strong analytical skills

Interpersonal skills

Ausbildung

Master's degree in data science

Master's degree in industrial engineering

Master's degree in engineering management

Master's degree in economics

Master's degree in supply chain management

Tools

MS Excel

PowerBI

Tableau

Python

R

SQL

Jobbeschreibung

The European Space Agency invites applications for a Luxembourgish National Graduate Trainee in Business Analytics and Data Science. The programme offers recent Master’s graduates hands‑on experience across space‑related disciplines and is funded by partner States, with selection influenced by background in space policies.

Your tasks include data analytics, planning support, governance of master data, and cross‑functional collaboration to improve processes.