Early Talent Shift & Safety Operations Lead

Amazon

Cataluña

Presencial

EUR 42.000 - 64.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Amazon Spain (Catalonia) is seeking an Area/Shift Manager to lead a large, diverse team and ensure the area keeps pace with demand. You will drive safety, productivity and cross-team collaboration in a hands-on role, while engaging with engineers and managers to optimize operations.

The role requires a university degree, strong English and local language skills, and data analysis experience, with familiarity in a logistics environment.

Formación

  • University degree completed before start date or graduation within last 24 months.
  • Advanced proficiency in written and verbal English and local language.
  • Experience in data analysis.
  • Currently enrolled or recently graduated with a degree in Supply Chain, Business/Management, Engineering or related field.
  • Experience communicating with a wide range of stakeholders.
  • Experience in a logistics environment.
  • Experience using MS Office (Word, Excel, Outlook).

Responsabilidades

  • Promote a culture of safety and wellbeing.
  • Analyse and implement corrective actions to maintain quality and productivity across shifts.
  • Support and lead a team and handle administrative work while building a strong team culture.
  • Analyse performance and suggest process improvements to optimise work and customer service.
  • Collaborate with other managers to standardise shift processes.

Conocimientos

English proficiency
Local language
Data analysis

Educación

Bachelor's or Master’s degree
Supply Chain related degree

Herramientas

MS Office

Descripción del empleo

Amazon Spain (Catalonia) is seeking an Area/Shift Manager to lead a large, diverse team and ensure the area keeps pace with demand. You will drive safety, productivity and cross-team collaboration in a hands-on role, while engaging with engineers and managers to optimize operations.

The role requires a university degree, strong English and local language skills, and data analysis experience, with familiarity in a logistics environment.

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