AMAZON IS HIRING: ASSOCIATE QUALITY SERVICES

 

AMAZON IS HIRING: ASSOCIATE QUALITY SERVICES

AMAZON: ASSOCIATE QUALITY SERVICES

Eligiblity:

  • BE, BTech, Master of computer Applications (MCA), Bsc Computers, BCA, MSc Information Technology (IT)
  • Little or no previous experience necessary.
  • Excellent communication skills (written and spoken) in English language
  • Demonstrated problem solving analytical skills and testing acumen.
  • Excellent attention to detail and work with the highest level of accuracy.
  • Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc..
  • Flexibility and Interest to do repetitive tasks.
  • A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential.
  • Shifts: 8AM to 5PM mostly (subjective to change based on business requirements)


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DESCRIPTION

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is seeking Team leads for our transportation team. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers

We're seeking a Team lead for our Delivery center. In this role you will be responsible for shift operations at our DCs and support the DC manager in performance management and driving the operational plan.

Title: Team Lead (Intern)
Location: India

Essential Functions

Defining , building and executing the delivery process from delivery station to customer address

Ensure enough bandwidth in territorial delivery team to ensure peak time delivery management

Engage closely with the delivery team including associates, developing and maintaining a highly motivated and
performance driven team.

Continuously improve the delivery process and attain a sustained level of delivery performance, through process
and training improvements. Initiates improvements to enhance quality standards, reduce waste, and eliminate
unnecessary work.

Analysis of the data reports to identify perf


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