Principal Data Operations Analyst (Machine Learning exp is preferred)
Role Overview
As a Principal Analyst in the Market Insights (MI) business process, you will play a pivotal role in driving operational excellence and data integrity.
This senior-level position demands deep expertise in executing BAU production tasks—such as data coding,matching, and quality checks—while also leading team coordination, stakeholder engagement, and issue resolution.
You will be responsible for undergoing the end-to-end production workflow, ensuring timely and accurate data delivery, and maintaining high standards of quality across the team.
With a strong process improvement mindset, you will identify inefficiencies, guide junior analysts, and implement solutions that enhance team performance and output reliability.
Key Skills for This Role
Full Job Posting
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
Requirements
- 2+ years of experience in data operations, analytics, or market insights. Hands-on experience in Machine Learning is required, with Python skills preferred Proven expertise in data coding, matching, and quality assurance. Strong analytical and problem-solving skills. Experience in team coordination, mentoring, and workload management. Able to understand market trend and using AI Tools Strong Client Communication with Presentation Skills Should be able to understand Market trend and impact of the reports
- Excellent communication and stakeholder engagement abilities. Proficiency in tools such as Excel, SQL, and data visualization platforms.
- Bachelor’s or master’s degree in business, Statistics, Data Science, or related field. Experience in market research or syndicated data processes. Familiarity with agile workflows
About NielsenIQ
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