Global Technical Support Specialist - Platform & Data

NielsenIQ

Washington (District of Columbia)

Hybrid

USD 52,000 - 82,000

Full time

14 days+

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Benefits offered by this job

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee‑Assistance‑Program (EAP)

Job summary

NIQ is seeking a Customer Support Specialist (Technical) to be the first point of contact for platform inquiries, troubleshoot access, configuration, and performance issues, and guide users to successful adoption across NIQ solutions.

You will work with customers and internal teams to resolve tickets, analyze data quality, and ensure timely, high‑quality support while meeting SLAs in a global, hybrid environment.

Qualifications

  • Bachelor’s degree in a related field is preferred.
  • Experience in Customer Support or Help Desk roles is required.
  • Strong English communication skills, written and verbal.

Responsibilities

  • Manage and resolve customer support tickets through the NielsenIQ Service Suite.
  • End-to-end troubleshooting, information gathering, and applying workarounds.
  • Analyze shipment data and ensure data quality across multiple clients.
  • Maintain complex databases, identifying data gaps and inconsistencies.
  • Troubleshoot access, configuration, functionality, and performance issues.
  • Escalate complex issues and coordinate with cross-functional teams.
  • Support BAU activities with the local Issue Management team.
  • Deliver outputs meeting KPIs, SLAs, and operational standards.

Skills

Customer support
Technical support
Excel
Analytical thinking
Communication skills
Problem solving

Education

Bachelor’s degree

Tools

NielsenIQ Service Suite
Ticketing systems
CRM systems

Job description

NIQ is seeking a Customer Support Specialist (Technical) to be the first point of contact for platform inquiries, troubleshoot access, configuration, and performance issues, and guide users to successful adoption across NIQ solutions.

You will work with customers and internal teams to resolve tickets, analyze data quality, and ensure timely, high‑quality support while meeting SLAs in a global, hybrid environment.

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