Data Operations Analyst: Data Quality & Timely Delivery

Nielseniq-

Warszawa

On-site

PLN 59,000 - 65,000

Full time

45 hours ago
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Benefits offered by this job

Flexible working environment
Volunteer time off

Job summary

NielsenIQ is hiring a Data Operations Analyst to ensure data accuracy, quality, and timely delivery for clients. The role focuses on transforming, validating, and monitoring data workflows while upholding data integrity.

You will work in a collaborative, multicultural environment, partnering with cross-functional teams to support client needs and drive operational excellence. Practical involvement in process optimization and best practices is expected.

Qualifications

  • Transform, clean, and validate data to ensure accuracy and reliability
  • Monitor data workflows and ensure timely delivery to clients
  • Identify, investigate, and resolve data inconsistencies and quality issues
  • Collaborate with cross‑functional teams to support client needs
  • Maintain and enforce data integrity across workflows
  • Contribute to process improvements to boost efficiency and scalability
  • Document processes, workflows, and standards clearly and consistently
  • Manage multiple tasks and workflows while meeting deadlines

Responsibilities

  • Transform, validate, and monitor data to ensure accuracy
  • Collaborate with cross‑functional teams to support client needs
  • Identify and resolve data inconsistencies and quality issues
  • Maintain data integrity across data workflows
  • Drive process improvements for efficiency and scalability
  • Document workflows and standards clearly
  • Prioritize multiple tasks and deadlines

Skills

Data transformation
Data quality
Cross‑functional collaboration

Job description

NielsenIQ is hiring a Data Operations Analyst to ensure data accuracy, quality, and timely delivery for clients. The role focuses on transforming, validating, and monitoring data workflows while upholding data integrity.

You will work in a collaborative, multicultural environment, partnering with cross-functional teams to support client needs and drive operational excellence. Practical involvement in process optimization and best practices is expected.

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