Process Data Analyst R&D

2 Months ago • All levels • Data Analyst

Job Summary

Job Description

As a Process Data Analyst R&D at Tesla Automation, you will create custom data analysis scripts, virtualize dashboards and reports using Tableau and/or Apache Superset, and define data interfaces before project commencement. You will independently develop solutions and assist in implementing process optimization measures. You will prepare and present analysis results to various departments and leadership. This role requires strong data analysis skills, programming proficiency, and experience with data visualization tools. Knowledge of manufacturing automation is highly valuable.
Must have:
  • Data analysis scripting
  • Dashboard virtualization (Tableau/Superset)
  • Data interface definition
  • Process optimization
  • Data visualization (Matplotlib, Superset, Tableau)
  • SQL, Java/C#/Python
  • Data structures & architecture
  • Machine building/automation knowledge

Job Details

What to Expect

Tesla steht für die Beschleunigung des Übergangs zu nachhaltiger Energie. Innerhalb weniger Jahre wurden revolutionäre Strategien und Produkte entwickelt und erfolgreich auf den Markt gebracht. Dies ist nur möglich durch außerordentliche Begeisterung und Identifikation der Mitarbeiter, Geschwindigkeit in der Umsetzung von Prozessen und Projekten sowie überdurchschnittlicher Innovationskraft und Effizienz.

Wir, Tesla Automation, unterstützen die unglaubliche Erfolgsgeschichte von Tesla durch hochautomatisierte Spitzentechnologie, welche die weltweite Produktionskapazität des Unternehmens auf das nächste Level hebt. Unsere Passion, Motivation und Leistungsbereitschaft für komplexen Sondermaschinenbau ermöglicht Tesla seine ambitionierten Ziele zu erreichen. Nun suchen wir Sie, um diese Erfolgsgeschichte gemeinsam fortzuführen und weiter auszubauen.

What You’ll Do
  • Sie erstellen individuelle Datenanalyse-Skripte.
  • Sie virtualisieren Dashboards und Reports mit Tableau Software und/oder Apache Superset.
  • Sie legen die Datenschnittstelle vor Projektbeginn fest.
  • Sie erarbeiten selbstständig Lösungsvorschläge und unterstützen bei der Implementierung von Prozessoptimierungsmaßnahmen.
  • Sie bereiten die Analyseergebnisse für die einzelnen Fachbereiche auf und präsentieren es dem Fachbereich und Leadership.
What You’ll Bring
  • Sie verfügen über ein Hochschulstudium in Data Science, Informatik, Wirtschaftsinformatik, Wirtschaftsingenieurwesen oder äquivalente Ausbildung/Erfahrung.
  • Sie haben Kenntnisse im Bereich Maschinenbau / Automatisierungstechnik.
  • Sie haben gute Kenntnisse in Datenstrukturen, -architekturen und SQL.
  • Sie verfügen über Erfahrung in Datenvisualierungstechniken (Matplotlib, Superset, Tablau).
  • Sie verfügen über gute Kenntnisse in objektorientierten Programmiersprachen (Java, C', Python).

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