Sr. Data Associate with German Language (1 year Contract)

Employer: Amazon
Domain:
  • Customer Support - Client Service
  • Job type: temporary
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 03.05.2024
    Remote work: On-site
       

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    Short company description

    Our mission is to be Earth's most customer-centric company. This is what unites Amazonians across teams and geographies as we are all striving to delight our customers and make their lives easier, one innovative product, service, and idea at a time.

    Requirements

    • Proficiency in both English and German (C1/C2 Level)
    • Experience in content or editorial writing

    Responsibilities

    As part of your role, you will have the opportunity to:

    • Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment
    • Provide floor support to Operations manager in running day to day operations working closely with Data Associates
    • Handle work prioritization and deliver based on business needs
    • Track and report ops metrics and ensure delivery on all KPIs and SLAs
    • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation
    • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes
    • The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP.

    Benefits

    • Performance bonus
    • Medical insurance
    • Life insurance
    • Trainings
    • Courses
    • Transport cost reimbursement
    • Discount for company products / discount for services of partner companies
    • Flexible work schedule
    • Meal vouchers

       

    You can apply to this ad only with your hipo.ro account, without creating a CV.

    Completing the web form for a new account on hipo.ro takes 2 minutes or you can go even faster by importing your data from Facebook or Linkedin.

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