Principal Data Operations Analyst

As a Stat Ops Principal Data Operations Analyst, you will play a critical role in ensuring the accuracy, quality, and reliability of Consumer Panel Services data. You will execute sample data operations, support country-specific projects, monitor key data quality indicators, and identify opportunities for continuous improvement.

Working closely with Operations, Client Operations, Data Science, and Project Management teams, you will help resolve data quality issues, drive operational excellence, and contribute to the standardization and optimization of processes across the organization.

Salary - 32,100 - 36,000 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, platforms, and operational methodologies.
• Partner with local Operations teams to ensure processes are delivered accurately and in accordance with established playbooks and operational standards.
• Conduct data quality reviews and analyses to identify anomalies, inconsistencies, and suspicious deviations throughout the data collection and processing lifecycle.
• Investigate and resolve data-related queries raised by Client Operations and internal Data Operations teams.
• Collaborate with Project Managers and Data Science teams to support operational initiatives and ensure smooth project execution.
• Monitor key quality metrics and recommend improvements to enhance data accuracy and process efficiency.
• Support the harmonization of processes, methods, and applications through the adoption of best practices.
• Document processes, findings, and recommendations to support operational excellence and knowledge sharing.
• Contribute to initiatives focused on continuous improvement, data quality enhancement, and operational effectiveness.
   

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

Preferred

• Master's degree in a relevant discipline.
• 1-3 years of experience in quantitative analysis, data operations, or a related analytical field.
• Experience with Python and/or R.
• Experience executing research or analytics projects and translating insights into operational or analytical 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 complex 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

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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