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Working Student - Data Analytics & Systems Integration

Job

  • Level
    Junior
  • Job Field
    Data, Application
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Internship / school internship
  • Location
    Munich
  • Working Model
    Onsite
  • Job Summary

    In this role, you will develop interactive dashboards and data visualizations using Tableau while performing data analyses and integrating different software platforms via APIs. You will work independently in an international team.

    Job Technologies

    Your role in the team

    • Establish connections: Enable software from different platforms to "talk to each other" using different protocols and APIs.
    • Design and develop interactive dashboards, reports, and visualizations using Tableau and similar tools to communicate insights to stakeholders.
    • Collaborate with cross-functional teams to integrate data insights into business decisions.
    • Develop and maintain databases, data warehouses, and data pipelines to support data analysis.
    • Provide data-driven recommendations to improve business processes and outcomes.
    • Provide efficient resource manager tools with very good usability.
    • Work together with an international team located in different countries.
    • Connect software and humans over state-of-the-art communication channels and protocols and present data in a fast and digestible format to resource managers.

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    Our expectations of you

    Education

    • You are currently enrolled in a degree program in Computer Science, Information Systems, or a related field.

    Qualifications

    • You have proficiency in Tableau, including data connection, REST APIs, web interfaces, data blending, and data visualization.
    • You are eager to work with modern development tools such as VS Code and AI-assisted coding tools like GitHub Copilot, and stay up to date with modern software development practices.
    • You have a basic understanding of CI/CD pipelines, tools like Jenkins, and code quality platforms such as SonarQube or equivalent solutions.
    • You are self-organized and work autonomously.
    • You speak English fluently; German is a plus.

    Experience

    • You have experience with data analysis and data mining.
    • Experience with OPUS Klusa is a plus.
    • You have experience with programming languages such as C#, Python, R, or SQL, and knowledge of data governance and data quality principles.
    • You are familiar with Git-based workflows and ideally have experience with platforms such as GitLab, GitHub, Bitbucket, or SVN.

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    What we offer

    • The focus is on studies. That's why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
    • To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme.
    • You must not be in a semester of leave.
    • We look forward to welcoming you to our team for at least 6 months.
    • For good collaboration, it is important to us that you can come to the office regularly to integrate into the team.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    Topics that you deal with on the job

    Job Locations

    • Location Munich

      Bayern

      Germany

    This is your employer

    Infineon Technologies AG

    Infineon Technologies AG

    Our creativity and dedication increase the value for our customers, employees, and investors. We understand how semiconductors improve the performance of modern technology and enable solutions that shape our current and future lives. Every single product we develop and manufacture is done with passion and precision, evidence of our determination to succeed. This makes us a trustworthy partner and helps our customers become even more successful.

    Description

  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Industry, Production, Electronics, Automatization
  • Logo Infineon Technologies AG

    Working Student - Data Analytics & Systems Integration

    Location
    Munich
    Working Model
    Onsite
    Diversity
    Open for all genders

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