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Customer Service Representative - Noida @ TELUS International

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 Customer Service Representative - Noida

Job Description

Hiring For Customer Service Representative


Provides expedient and accurate customer service to all client customers. Addresses

customer concerns, queries, issues, complaints and/or places sales orders and product

information requests.


  • Shift Timing- Open for rotational shifts with rotational offs. (Night Shift)
  • Work Experience Minimum 1 year required in Customer service & sales.
  • Salary Range- upto 36,000 in-hand.
  • Working Model : 5 days (work from Office)
  • Location : Noida Sector-135
  • Qualification : 12th or bachelor's degree or equivalent experience preferred

  • Both side Cab Facility will be provided within 35 Kms range.
  • Strong verbal communication skills in the English language.

  • Fresher's can also apply.
  • International BPO experience Required.
  • Telecom Industry experience preferable.
  • Must have Customer service or sales experience required for Experienced.


Please contact :-

Neelam Rawat (9667469***)

Ne*********t@te***************l.com




Job Classification

Industry: BPO / Call Centre
Functional Area: Other,
Role Category: Other
Role: Other
Employement Type: Freshers

Education

Under Graduation: Graduation Not Required
Post Graduation: Any Postgraduate
Doctorate: Any Doctorate

Contact Details:

Company: Xavient Digital - Powered by TELUS International
Address: 6th Floor,,,,Building No 5 IT ITES SEZ Plot No 20 , 21 Sector135,NOIDA, NOIDA, Uttar Pradesh, India
Location(s): Noida, Gurugram

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Keyskills:   Customer Service Communication Skills Sales Inbound Customer Service Inbound Sales International Call Center US Shift US Sales Voice Process International Sales Customer Care Night Shift Bpo Sales International Mobility International BPO International Voice Process

 Job seems aged, it may have been expired!
 Fraud Alert to job seekers!

₹ 50,000 - 3,00,000 P.A

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TELUS International

We, at TELUS International, help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Our proprietary AI training platform handles all data types (text, images, audio, video and geo) across 500+ languages and dialects. Our AI Data ...