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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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Working Student (m/f/d) – Sourcing & Spend Analytics

GE Aerospace
Found 3 days ago
Location
Lichtenfels, Germany
Time
Part-time
Work Mode
On-site
Salary
Fair compensation in line with local working student market standards.
Visa Help
Not disclosed
Last Verified
3 days ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • MS Excel
  • Power BI
  • Tableau

Soft Skills

  • structured
  • reliable
  • detail‑oriented
  • motivated to learn
  • take initiative

Job Description

Suggest and document process improvements: Review current sourcing and purchasing practices, compare them to existing process descriptions, identify gaps or inefficiencies, and propose pragmatic improvements. Support the documentation of changes in a clear and structured way (for example, process maps, work instructions, guidelines). Create reports and dashboards: Prepare meaningful analyses, reports, and presentations (for example, spend analyses, KPIs, savings tracking) to support decision‑making and continuous performance monitoring. Contribute to the design and maintenance of dashboards in our reporting tools. Support standardization and governance: Help maintain and improve sourcing standards, templates, and documentation, ensuring data consistency and transparency across categories and regions. Improve data quality and analytics: Assist in collecting, cleaning, and structuring data from various internal systems (for example, ERP and procurement tools) and perform basic data validation to increase the reliability of our reports. Collaborate across functions: Work with stakeholders from sourcing, purchasing, finance, and operations to understand their information needs and translate them into clear, actionable analytics.

Requirements

  • currently enrolled as a student (m/f/d) in business administration, industrial engineering, supply chain management, data analytics, economics, or a comparable field.
  • basic experience with data analysis and reporting
  • good knowledge of MS Excel
  • structured, reliable, and detail‑oriented manner
  • motivated to learn and take initiative

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
  • German

Nice to Haves

  • initial practical experience from internships, student jobs, or projects
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