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Amazon OFF Campus Drive | Quality Assurance – Analyst | Chennai

Amazon OFF Campus Drive 2023 Invites Students From Various Disciplines to apply for the Position of Quality Assurance – Analyst In Chennai, India. Below you will find more details about what you need to know if you are Interested and Eligible

Amazon Recruitment Details :-

Company Name:Amazon
Post Name:Quality Assurance – Analyst
Salary:INR 6-8 LPA (Expected)
Degree:Bachelor’s Degree
Batch:2018/2019/2020/2021/2022/2023
Experience:Fresher(0-3yrs)
Job Location:Chennai, India

Job Description & Responsibilities:-

  • Understanding of basic statistics and distributions/ability to detect patterns in data a plus.
  • He/She should be able to identify root cause, work with Support Engineers/Developers to fix errors and prevent recurrence of the identified errors.
  • Should be able to analyze and provide objective, actionable feedback based on the trend surfaced.
  • Expected to create and maintain process documentations on an ongoing basis. He/She is also expected to mentor and help new recruits to ramp up quickly. Should be willing participator in team meetings and contribute to knowledge sharing.
  • Commitment to meet Deadlines is expected as a behavior. He/She is expected to commit and deliver as expected.
  • Should be able to work independently, prioritize & schedule work assignments based on deadlines.
  • This is an Hybrid Position, which expects candidates to work from office location (3 days/week)

Eligibility Criteria:-

  • Bachelor’s degree
  • Speak, write, and read fluently in English
  • Experience with Microsoft Office products and applications
  • Experience with Excel

Preferred Skill Set:-

  • Should have 0-3 years of experience in Data Analysis and Excel
  • He/She should have an eye for detail and data accuracy skills.
  • He/She should be able to find trends based on audit output and aggregate audit data based on the audit findings. Auditor should be proficient in MS-excel functions and preferably be proficient in VBA for MS-Excel. This will help is efficient data aggregation

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