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Entry Level Bilingual Contact Center Researcher - Remote

Posted 5 days ago
Customer Service
Full Time
Mexico
16200 MXN/year

Overview

As an Entry Level Bilingual Contact Center Researcher at Nielsen, you will play a crucial role in conducting surveys and collecting data from various respondents while working in a dynamic environment that supports both in-office and remote work.

In Short

  • Conduct phone surveys and collect data from respondents.
  • Provide exceptional customer service and support.
  • Maintain confidentiality of information collected.
  • Meet established performance and quality standards.
  • Troubleshoot basic technical issues as they arise.
  • Work flexible hours, including evenings and weekends.
  • Work in the office 3 times a week and remotely for the rest.
  • Must be 100% fluent in English and Spanish.
  • High energy and self-motivated individual.
  • Comfortable with technology and multitasking.

Requirements

  • Fluency in English and Spanish (written and spoken) is required.
  • Strong communication and multitasking skills.
  • Ability to work independently and self-motivate.
  • Comfort with technology and troubleshooting.
  • High-speed internet connection for home office.

Benefits

  • Base Compensation of 16,200 MXN per year.
  • 9% in grocery vouchers.
  • Financial support for internet connectivity expenses.
  • 13% savings fund.
  • Major Medical Expenses coverage for family.
  • Life insurance coverage.
  • 50% vacation bonus.
  • 30-day Christmas bonus (Aguinaldo).
  • Flexible hours with a variety of shift options.
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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