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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Digital Applications Specialist Trainee

ZEISS Group
Found 1 month ago
Location
Lisboa, Portugal
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • Excel

Job Description

The role focuses on assisting in the development, testing, and improvement of digital tools used to enhance quality processes and operational efficiency. The trainee will contribute to application support, data-driven quality monitoring, and workflow automation initiatives. Working in an international environment, the trainee will collaborate with the quality team to help streamline processes, improve system reliability, and support the transition from manual to digital workflows. The position offers hands-on exposure to 3D visualization, data analytics, low-code automation, global collaboration, software applications, and automation tools. Additional digital initiatives may be developed over time, and the trainee will have the opportunity to contribute to new solutions aligned with the organization’s digital roadmap. Additional initiatives and new tools will be developed over time, and the trainee will have the opportunity to contribute to new concepts and pilot solutions as the digital roadmap evolves. The role of Digital Applications Trainee will involve: * Application Support & Development Assistance * Data & Quality Analytics Support * Process Automation & Digital Workflows * Testing, Documentation

Requirements

  • Bachelor or Master student in: Business Analytics, Data Science, Computer Science, Engineering, or related technical field
  • Academic or project-based experience in programming, analytics, or digital tools.
  • Experience with university or personal technical projects is considered valuable.
  • Basic Python knowledge
  • Basic SQL knowledge
  • Good Excel skills
  • Fluent English

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Experience with university or personal technical projects
▶Apply Now

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