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Amazon OFF Campus Drive | QA Analyst | Fresher

Amazon OFF Campus Drive 2023 Invites Students From Various Disciplines to apply for the Position of QA 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:QA 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:-

  • 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
  • Understanding of basic statistics and distributions/ability to detect patterns in data a plus.
  • 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. They are 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. They are 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
  • Should have 0-3 years of experience in Data Analysis and Excel
  • Should have an eye for detail and data accuracy skills.

Preferred Skill Set:-

  • Able to write queries using SQL & Macros

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