Data Analysis Internship in Logistics IT

vor 4 Wochen


Böblingen, Baden-Württemberg, Deutschland Mercedes-Benz Vollzeit
Position Overview

The Mercedes-Benz Group stands as a leader in the automotive sector, recognized for its excellence in premium passenger vehicles. As the industry evolves, particularly through digital transformation, our IT4SC department plays a pivotal role in enhancing logistics processes across various plants.

Key Responsibilities

As a working student focused on data analysis, you will:

  • Conduct comparative assessments of tools for analyzing user behavior within logistics IT applications.
  • Gather and articulate requirements for software improvements.
  • Establish a data foundation to evaluate the benefits of AI solutions, including chatbots.
  • Apply research findings to practical applications.
  • Analyze practical experiences and compile comprehensive reports.
  • Independently manage tasks with a focus on quality implementation.
  • Collaborate closely with an international team to enhance logistics and IT processes.
Qualifications

Professional Background:

  • Pursuing a degree in IT-related fields such as data engineering, computer science, or human-computer interaction.
  • Strong interest in data analysis and software development.
  • Familiarity with user-centered software development methodologies, including user behavior evaluation and requirements engineering.
  • Knowledge of agile methodologies like SCRUM or SAFe is advantageous.

Personal Attributes:

  • Ability to work autonomously on complex projects.
  • Passionate about innovation and open to exploring new technologies.
  • Willingness to learn various tools, platforms, and frameworks.
  • Strong communication skills in both English and German, with a confident and goal-oriented demeanor.
Additional Information

For candidates from outside the European Economic Area, please ensure you have the necessary residence or work permits. Note that we do not accept paper applications.

Benefits
  • Meal allowances
  • Employee discounts
  • Flexible working hours
  • Hybrid working options
  • Health initiatives
  • Pension schemes
  • Accessibility features
  • Childcare support


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