Intern – Data Analytics (m/f/d)

Stellenbeschreibung:

The Role: What to expect


Role Requirements: What you need to succeed

  • You are at an advanced stage of your studies in data science, statistics, computer science, robotics or related fields.
  • Proficiency in Python,Git, andDocker .
  • Strong analytical thinking and expertise in data analytics.
  • A proactive, problem-solving approach with the ability to work effectively in a team environment.
  • Hands-on experience with batch or real-time data processing frameworks, such as Apache Spark .
  • Ideally, you are familiar with workflow orchestration tools such as Apache Airflow and you bring working knowledge of SQL and database management.

Why idealworks

  • At idealworks, you will find an international working environment and become part of an experienced, open team where mutual trust counts. You will feel at home from the very first second!
  • Experience a first-hand start-up feeling and flat hierarchies with varied and responsible tasks that you work on independently.
  • We offer exciting corporate benefits and monthly team events.
  • Our modern office is easily accessible by public transport, bike and car and offers numerous catering options for relaxed lunch breaks with your team.
  • Driven by our unique corporate culture, the five values "passion for results", "wellbeing", "personal growth", "trust" and "being and acting as one team" determine our daily actions and cooperation.

Role Responsibilities: What you will do

  • Designing and implementing data pipelines (ETL) from robotics fleet management and CRM tools .
  • Working on new features for our data analytics portfolio .
  • Creating and maintaining on-premise data lakes that contain large volumes of data points with diverse and evolving schemas.
  • Developing advanced analytics algorithms to evaluate device utilization and technical availability, supporting proactive maintenance and enhanced fleet reliability.
  • Researching and developing fleet health and deployment health metrics using statistical analysis and analytics algorithms to monitor performance, detect anomalies, and improve operational reliability.

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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    12 Mär 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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