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Data Operations Analyst

esPosted 14 Oct 2026

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About this role

As a Stat Ops Data Operations Analyst , you will play a key role in ensuring the accuracy, quality, and reliability of Consumer Panel Services data. You will be responsible for executing sample data operations and supporting country-specific projects, while monitoring data quality, identifying anomalies, and driving continuous process improvements. Working closely with Data Operations, Client Operations, Data Science, and Project Management teams, you will help resolve data quality issues, support operational excellence, and contribute to the standardization and optimization of processes across the organization.

Salary - 22,300 - 25,200 EUR gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Key Responsibilities Execute Stat Ops processes and support associated project work for the assigned market. Develop expertise in internal sample data tools, systems, and operational platforms.

Partner closely with local Operations teams to ensure timely and accurate execution of processes in line with established playbooks and operational standards. Monitor and analyze data quality indicators, identifying unusual patterns, discrepancies, or deviations throughout the data collection and processing lifecycle. Perform data quality reviews and investigations to ensure data accuracy, completeness, and consistency.

Investigate and resolve data-related queries raised by Client Operations or internal Data Operations teams. Collaborate with Project Managers, Data Science, and cross-functional stakeholders to support operational initiatives and continuous improvement projects. Contribute to process harmonization and adoption of best practices across markets. Document findings, process updates, and recommendations to support operational efficiency and knowledge sharing.

Support initiatives aimed at improving data quality, process effectiveness, and overall operational performance. Qualifications & Requirements Essential Bachelor's degree (B.A. or B.S.), preferably in Statistics, Mathematics, Computer Science, Data Analytics, Engineering, or a related technical field. Candidates in the final year of a relevant bachelor's degree may also be considered, particularly those with relevant internship or practical experience.

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Experience handling, manipulating, and analyzing data. Working knowledge of SQL and database structures. Strong analytical and problem-solving skills with excellent attention to detail. Ability to work effectively in a cross-functional environment with multiple stakeholders. Ability to document work clearly and manage priorities effectively. Ability to work independently as well as collaboratively within a team. Fluent English and fluent Spanish or Portuguese.

Based in Madrid. Preferred Master's degree in a relevant discipline. Experience with Python and/or R. Experience executing research or analytics projects and translating findings into operational or business solutions. Ability to manage multiple projects simultaneously while adapting to changing priorities and deadlines. Strong organizational, communication, and interpersonal skills. Ability to balance technical, operational, and business perspectives when solving problems.

Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria.

All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative.

For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/ About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach.

With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve.

We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact.

To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Source listing: smartrecruiters_nielseniq

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