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Bilingual Customer Service Representative - Remote

Posted 1 week ago
Customer Service
Full Time
MX

Overview

As a Bilingual Customer Service Representative at Nielsen, you will support our Mexico operation by engaging with customers through phone interviews, ensuring data collection integrity, and maintaining strong relationships with Nielsen panel families.

In Short

  • Conduct various call types to panelists and customers.
  • Support scheduling, data collection, and troubleshooting.
  • Exceed performance goals related to sample quality and customer satisfaction.
  • Fluency in English and Spanish is required.
  • Prior sales experience is a plus.
  • Strong computer skills are necessary.
  • Organizational and time management skills are essential.
  • High school diploma or equivalent work experience needed.
  • Hybrid work model with both in-office and remote work.
  • Financial support for internet connectivity expenses.

Requirements

  • Fluency in English and Spanish (written and verbal).
  • Excellent communication and negotiation skills.
  • Prior sales experience is a significant plus.
  • Proficiency in computer skills (iOS, Windows, Google Applications).
  • Exceptional organizational and time management abilities.
  • High school diploma or equivalent work experience.

Benefits

  • 9% in grocery vouchers.
  • Financial support for internet connectivity expenses for teleworking.
  • 13% savings fund.
  • Major Medical Expenses coverage for family.
  • Life insurance.
  • 50% vacation bonus.
  • 30-day Christmas bonus (Aguinaldo).
  • Flexible hours with shift options.
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Nielsen

Nielsen is a global measurement and data analytics company that provides insights into consumer behavior and market trends. With a workforce of nearly 14,000 associates, Nielsen fosters a collaborative environment where career growth is seen as a partnership. The company encourages innovation and continuous improvement, empowering its employees to explore new initiatives and approaches. Nielsen is dedicated to leveraging data science and predictive modeling to drive operational efficiency and enhance business capabilities.

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