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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Working Student- Data Analytics

us-securities-and-exchange-commission
Found 3 weeks ago
Location
Munich, Germany
Time
Part-time
Work Mode
Hybrid
Salary
attractive salary and performance bonus
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • Transact-SQL
  • DAX
  • Power BI
  • Excel
  • SQL
  • data analytics
  • machine learning

Soft Skills

  • Self-driven
  • structured
  • strong communicator

Job Description

Are you a student interested in Data Analysis, Process Innovation, and understanding how company operations work specifically in Business Management area? As part of the Management Support team, a team of Samsung Semiconductor Europe, you'll support the Process Innovation by analyzing company KPI-related data and correlating it with data-driven company decision-making and strategy. In this role, you'll play a crucial part in driving operational efficiency and supporting key business objectives. If you are available to work 2 days a week in our Munich office and are eager to gain practical experience in a forward-thinking environment, we definitely want to hear from you! Please note that you must be currently enrolled in a university program to be eligible for this position.

Requirements

  • Currently enrolled in a relevant Master program such as Mathematics, Data Science, Software Engineering, or similar.
  • Solid understanding of database concepts and experience with Transact-SQL, database management and comfortable working with relational databases.
  • Skilled in Power BI, including data modeling, Power Query, and DAX.
  • Proficient in Excel and analytical tools.
  • Proficiency in programming languages, especially those relevant to automation (Python, SQL).
  • Curious and eager to grow your skills in data analytics and machine learning (basic knowledge is a plus).
  • Self-driven, structured, and a strong communicator in English

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • basic knowledge is a plus
▶Apply Now

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