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Bilingual Customer Service Specialist - Remote

Posted 3 days ago
Customer Service
Full Time
Mexico

Overview

As a Bilingual Customer Service Specialist at Nielsen, you will support our Mexico operation by conducting various call types to engage with panelists, respondents, and other customers across the US, aiming to motivate them to respond effectively.

In Short

  • Conduct phone surveys and collect data.
  • Provide exceptional customer service.
  • Maintain confidentiality of information.
  • Meet performance and quality standards.
  • Troubleshoot basic technical issues.
  • Work in a hybrid role, combining in-office and remote work.
  • Fluency in English and Spanish required.
  • Flexible work hours including evenings and weekends.
  • Experience in customer service or call centers preferred.
  • Self-motivated and able to work independently.

Requirements

  • Fluency in English and Spanish (written and spoken).
  • Experience in customer service, call centers, or similar fast-paced environments.
  • Strong communication and multitasking skills.
  • Comfort with technology.
  • Self-motivated and able to work independently.

Benefits

  • 9% in grocery vouchers.
  • Financial support for internet connectivity expenses for teleworking.
  • 13% savings fund.
  • Major Medical Expenses coverage (spouse and children under 25 years).
  • Life insurance.
  • 50% vacation bonus.
  • 30-day Christmas bonus (Aguinaldo).
  • Paid holidays according to Mexican law.
  • Flexible hours with various shift options.
  • Comprehensive office amenities including a free onsite gym.
Nielsen logo

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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