Senior Data Operations Analyst - Statistics

Identify, investigate, and resolve routine operational and data-related issues.

Conduct preliminary root cause analysis and collaborate with senior team members on complex issues.

Escalate critical risks and exceptions appropriately while ensuring timely follow-up.

Track issue resolution progress and communicate updates to relevant stakeholders.

Coordinate with Client Operations, Data Operations, Global Operations, and other internal teams to ensure smooth execution of deliverables.

Respond to stakeholder queries in a professional and timely manner.

Support client-related requests and data investigations under guidance from senior team members.

Maintain effective communication with onshore and offshore stakeholders regarding project status, risks, and delivery updates.

Build collaborative working relationships across functions and geographies.

Develop expertise in NIQ methodologies, systems, tools, and operational processes.

Continuously enhance analytical, technical, and business knowledge relevant to the role.

Actively participate in training sessions and knowledge-sharing activities.

Support onboarding and knowledge transfer activities for new team members when required.

2+ years of experience in Market Research, Statistical Operations, Data Analytics, Business Operations, or a related field.

Experience working with large datasets, reporting processes, or operational analytics.

Exposure to client-facing interactions or stakeholder coordination is preferred.

Experience in a fast-paced, delivery-oriented environment is advantageous.

Familiarity with NIQ tools and methodologies is preferred.

Bachelor’s or Master’s (preferred) degree in Statistics, Mathematics, Data Science, Computer Science, Economics, or a related quantitative field.

Execution Excellence: Demonstrates strong attention to detail and consistently delivers accurate work within agreed timelines.

Accountability: Takes ownership of assigned deliverables and proactively manages risks and dependencies.

Analytical Thinking: Ability to investigate issues, identify patterns, and support data-driven problem resolution.

Continuous Improvement: Actively seeks opportunities to improve quality, efficiency, and operational effectiveness.

Collaboration: Ability to work cross-functionally with Client Ops, Data Ops, Data Science and global teams to achieve business objectives.

Technical Skills Preferred

Understanding of basic statistical concepts and data management principles.

Familiarity with data validation, quality assurance and data analysis techniques.

Knowledge of data analysis tools (e.g., SQL, Python, R) and business intelligence tools is preferred.

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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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