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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Working Student (f/m/d) - Data Analysis & Reporting

Siemens Energy
Found 1 week ago
Location
Berlin, Germany
Time
Part-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 week ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • MS Excel
  • SAP
  • Data Analysis
  • Data Management
  • Financial Reporting

Soft Skills

  • analytical skills
  • analytical thinking
  • attention to detail
  • problem‑solving skills
  • Collaborative
  • adaptable personality
  • open mindset
  • willingness to learn

Job Description

This is a working student position created to ensure business continuity within the Procurement Finance team for the Blades and Vanes unit. The role is designed to provide targeted support for data‑related tasks. To meet this need, the position focuses on two core areas: Data Analysis & Reporting and System and Process Support. These activities involve using key tools such as MS Excel and SAP to support the team with financial data management and operational workflows. Given the strong focus on data processing, the ideal candidate is a currently enrolled student with strong analytical skills, advanced proficiency in MS Excel, and a keen interest in corporate finance. Initial experience with SAP is considered a significant advantage.

Requirements

  • Currently enrolled in a Bachelor’s or Master’s degree program in Business Administration, Finance, Economics, or a related field
  • Strong proficiency in Microsoft Excel
  • initial experience with SAP is a plus
  • Basic knowledge or interest in data analysis, data management, and financial reporting
  • No formal work experience required
  • relevant internships or academic projects are advantageous
  • Strong analytical thinking, attention to detail, and problem‑solving skills
  • Collaborative, adaptable personality with an open mindset and willingness to learn

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Initial experience with SAP
▶Apply Now

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