Data Operations Analyst — Flexible Data Delivery

NielsenIQ; Warszawa; In loco; PLN 65.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Descrizione del lavoro

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

You will collaborate with cross-functional teams in a collaborative, multicultural environment, drive operational excellence, and contribute to process improvements that increase efficiency and scalability.

Competenze

• Process, clean, transform, and validate data to ensure accuracy and reliability.
• Monitor data workflows and ensure timely delivery of outputs to clients.
• Identify, investigate, and resolve data inconsistencies, anomalies, and quality issues.
• Collaborate with cross-functional teams to support operational and client requirements.
• Maintain and enforce data integrity standards across workflows.
• Contribute to process improvements to enhance efficiency and scalability.
• Document processes, workflows, and standards clearly and consistently.
• Manage multiple tasks and workflows while adhering to deadlines and priorities.

Mansioni

• Ensure data accuracy and reliability through processing and validation.
• Manage and monitor data workflows to meet deadlines.
• Resolve data inconsistencies and quality issues.
• Collaborate with cross-functional teams to align data outputs with client needs.
• Document data processes and standards for consistency.

Conoscenze

Data processing

Data validation

Workflow monitoring

Cross-functional collaboration

Descrizione del lavoro

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

You will collaborate with cross-functional teams in a collaborative, multicultural environment, drive operational excellence, and contribute to process improvements that increase efficiency and scalability.