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Salary
$27k – $44k per year (Estimated)
Location
Remote/Hybrid (Böblingen, Germany)
Seniority
Intern
Employment
Part-Time
Overview
Company
Impact
Profile match
Moog Inc. is a global designer, manufacturer, and integrator of precision motion and fluid control systems and components. Headquartered in East Aurora, New York, the company operates across four main business segments: Military Aircraft, Commercial Aircraft, Space and Defense, and Industrial. Through electro-hydraulic and electric actuation technologies, it delivers critical flight control systems, spacecraft positioning, missile solutions, medical devices, and heavy industrial automation where ultra-precise control and high reliability are essential.

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

Job Title:

Werkstudent (m/w/d) - Business Intelligence & Automation

Reporting To:

Product Manager

Work Schedule:

Hybrid - Böblingen, DE

Für unseren Bereich Product Management suchen wir ab sofort einen

Werkstudent (m/w/d) - Business Intelligence & Automation

Zur Unterstützung unseres Teams suchen wir einen Werkstudenten (m/w/d) - mit echtem Gestaltungsspielraum und spannenden Use Cases.

Deine Aufgaben:

  • Entwicklung und Pflege von Power-BI-Dashboards
  • Entwicklung von Konfiguratoren und Anwendungen mit Power Apps
  • Aufbau von Datenmodellen und Kennzahlen
  • Erstellung und Wartung von automatisierten Workflows mit Power Automate
  • Anbindung und Auswertung von SQL-Datenbanken
  • Unterstützung bei der Digitalisierung und Automatisierung interner Prozesse

Dein Profil:

  • Studium in Wirtschaftsinformatik, Informatik, Data Science/Analytics oder eine vergleichbare Fachrichtung
  • Erfahrung mit Microsoft Power Platform (Power BI, Power Apps und Power Automate)
  • Erste Erfahrung mit Datenmodellierung, Kennzahlen sowie Grundverständnis von Datenbanken
  • Starkes logisches und analytisches Denkvermögen sowie hohe Affinität zu Prozessen und Daten
  • Selbständige, strukturierte und zuverlässige Arbeitsweise

Stundenanzahl flexibel nach Absprache. Während des Semesters maximal 19,5 Stunden und bis zu 40 Stunden in der vorlesungsfreien Zeit.

Wir freuen uns auf Deine Bewerbung!

Bitte bewirb Dich über das Stellenhub in Workday.

Für Fragen stehen Dir Yvonne Hunsmann (Tel.: 07031 - 622 325) und Steffen Kopp (Tel.: 07031 - 622 262) gerne zur Verfügung.

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