Senior Data Ops Analyst - Data Quality & Process Excellence

NielsenIQ; Madrid; On-site; EUR 32,000 - 36,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ in Madrid seeks a Stat Ops Principal Data Operations Analyst to ensure data accuracy and drive continuous improvement across Consumer Panel Services. You will execute sample data operations, monitor data quality indicators, and work with Operations, Client Operations, Data Science, and Project Management teams.

The role requires a Bachelor's degree, SQL knowledge, data handling experience, and fluency in English plus Spanish or Portuguese.

Qualifications

• Bachelor's degree in Statistics, Mathematics, CS, Data Analytics, Engineering, or related field.
• SQL knowledge and ability to work with database structures.
• Experience handling, manipulating, and analyzing data.
• Fluent English and Spanish or Portuguese; based in Madrid.
• Ability to work cross-functionally with multiple stakeholders.

Responsibilities

• Execute Stat Ops processes and support project work for the assigned market.
• Develop expertise in internal sample data tools, platforms, and methodologies.
• Partner with local Operations teams to ensure processes follow playbooks and standards.
• Conduct data quality reviews to identify anomalies and deviations.
• Investigate data-related queries raised by teams.
• Collaborate with Project Managers and Data Science to support initiatives.
• Monitor quality metrics and recommend improvements for accuracy and efficiency.
• Support harmonization of processes through best practices.
• Document processes, findings, and recommendations for knowledge sharing.

Skills

SQL

Data analysis

Data manipulation

Cross-functional work

Education

Bachelor's degree

Master's degree

Tools

Python

R

Job description

NielsenIQ in Madrid seeks a Stat Ops Principal Data Operations Analyst to ensure data accuracy and drive continuous improvement across Consumer Panel Services. You will execute sample data operations, monitor data quality indicators, and work with Operations, Client Operations, Data Science, and Project Management teams.

The role requires a Bachelor's degree, SQL knowledge, data handling experience, and fluency in English plus Spanish or Portuguese.