Automotive Data Analyst: Parts Catalog & Quality (Hybrid)

OEC

Województwo małopolskie

Hybrid

PLN 45.000 - 70.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

OEC is seeking a data analyst to conduct automotive parts data analysis supporting the creation and maintenance of electronic parts catalogs. You will handle data from engineers, ensure quality, and collaborate with multiple teams to deliver accurate information to end users.

Proficiency in English is required; strong analytical and MS Office skills are essential. A hybrid work model applies, with 3 days in the office.

Qualifikationen

  • Must be able to read, write, understand, and fluently speak in English.
  • Analytical skills with demonstrated ability to investigate, analyze and articulate requirements.
  • Good computer skills and proficiency with Microsoft Office.
  • Strong communication and interpersonal skills.
  • Attention to detail.
  • Basic automotive industry knowledge would be a plus.

Aufgaben

  • Performs analysis of data provided by engineers working for the largest automotive companies (spare parts, 3D illustrations, technical drawings).
  • Ensures the produced data meets quality and format criteria, and provides relevant information to end users.
  • Monitors the quality of data output and performs corrective actions where required.
  • Creates and updates electronic spare parts catalogs for leading car manufacturers.
  • Collaborates with different teams like engineers designing spare parts, the quality department, and customer support teams.

Kenntnisse

Fluent English
Analytical skills
Computer skills
Communication skills
Attention to detail

Tools

Microsoft Office

Jobbeschreibung

OEC is seeking a data analyst to conduct automotive parts data analysis supporting the creation and maintenance of electronic parts catalogs. You will handle data from engineers, ensure quality, and collaborate with multiple teams to deliver accurate information to end users.

Proficiency in English is required; strong analytical and MS Office skills are essential. A hybrid work model applies, with 3 days in the office.

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