Principal Data Operations Analyst

Role Summary

The Statistical Operations Expert ensures accurate timely and high-quality data delivery by managing production processes optimizing workflows and maintaining governance standards. Acting as a key liaison across global teams this role drives issue resolution process improvements and stakeholder collaboration. It combines technical expertise operational excellence and strong communication skills to support seamless execution and continuous improvement in statistical operations.

Key Responsibilities

Production & quality management:

• Set up high-quality reporting for NIQ markets and address client-raised data concerns through cross-functional collaboration.
• Ensure timely delivery of production cycles while maintaining defined quality standards.
• Execute recurring processes with precision proactively identifying opportunities for automation and efficiency improvements.
• Track and report KPIs (e.g. on-time delivery data accuracy) to monitor performance and drive continuous improvement.

Process governance & optimization:

• Maintain accurate process documentation ensuring timely updates and exception tracking.
• Stay current on tool enhancements to apply improvements effectively.
• Contribute to standardization and efficiency initiatives for methods processes and applications.
• Ensure compliance with established guidelines and manage exceptions effectively.

Issue resolution:

• Communicate promptly and transparently with stakeholders regarding errors ensuring timely resolution.
• Lead root cause analysis (RCA) for issues delivering actionable insights to prevent recurrence.

Stakeholder management:

• Partner with Client Operations Data Operations Global Operations and Data Science teams to improve data quality and business processes.
• Collaborate across geographies in a virtual multicultural environment to ensure seamless operations.
• Maintain clear consistent communication with onshore teams and stakeholders providing accurate project updates and addressing client queries.
• Provide technical and process expertise for new initiatives and support remote teams in effective project implementation.

Qualifications :

Work Experience

• Experience in market research or data analytics.
• Familiarity with NIQ tools and methodologies. (preferred)
• Certification in Lean Six Sigma or similar process improvement frameworks. (preferred)

Education

• Bachelors or Masters (preferred) degree in Statistics Mathematics Data Science Computer Science Economics or a related quantitative field.

Core Competencies

• Analytical Thinking: Ability to identify root causes interpret data and propose actionable solutions.
• Process Orientation: Skilled in documentation compliance and continuous improvement.
• Communication Skills: Clear and effective communication with stakeholders across geographies.
• Collaboration: Strong ability to work cross-functionally with Client Ops Data Ops and Data Science teams.
• Problem-Solving: Expertise in RCA and proactive issue resolution.

Technical Skills Preferred

• Strong proficiency in data analysis tools (e.g. SQL Python R) and familiarity with statistical concepts.
• Experience with data processing platforms and reporting tools.
• Understanding of automation techniques and process optimization.
• Knowledge of data governance principles and quality assurance standards.

Additional Information :

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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time