Data Operations Analyst

About the Role

As a Data Operations Analyst at NielsenIQ (NIQ), you will play a key role in ensuring the accuracy, completeness, and readiness of market data for delivery to clients. You will work within NIQ's global Operations function, investigating data issues, validating information, and helping to maintain quality standards. This role is part of a significant transformation in Operations, incorporating automation, AI-enabled workflows, and smarter technologies.

Key Responsibilities

• Research product information and accurately classify and maintain data within NIQ databases.
• Perform quantitative and qualitative quality checks to ensure market data meets NIQ's global quality standards.
• Manage monthly production activities using NIQ's proprietary platforms, ensuring data is delivered accurately and on time.
• Investigate, analyze, and resolve data issues and exceptions.
• Monitor market developments and understand how they impact data quality.
• Work alongside AI-enabled tools and automated workflows, applying critical thinking and human judgment to validate outputs and resolve exceptions.
• Identify opportunities to simplify processes, improve efficiency, and support continuous improvement initiatives.
• Use data and operational insights to identify trends, improve quality, and enhance performance.
• Collaborate with colleagues across global teams to deliver trusted, high-quality data that supports client decision-making.

Requirements & Tech Stack

• Good working knowledge of Microsoft Office, particularly Excel.
• English proficiency (B1-B2 level or above).

Qualifications

• Bachelor's degree in Arts and Science.
• Strong analytical thinking, attention to detail and knowledge of Market Research.
• A passion for working with data and solving problems.
• Curiosity and enthusiasm for learning new technologies and digital tools.
• A growth mindset and willingness to embrace change.
• The ability to work effectively within structured processes while identifying opportunities for improvement.
• Strong collaboration and communication skills.
• A commitment to delivering high-quality work in a fast-paced environment.

Nice to Have:

• Exposure to data processing or data quality activities.
• Familiarity with AI-enabled technologies or automation tools.
• Basic knowledge of SQL, Power BI, Python, or similar analytical tools.
• Experience improving or documenting operational processes.

What You Can Expect

• Structured onboarding and comprehensive training from day one.
• Cross-functional collaboration within a global organization.
• Commercial awareness and understanding how operational excellence creates value for clients.
• Opportunities to develop capabilities in:
• Working confidently alongside AI-enabled technologies.
• Change and transformation.
• Digital fluency.
• Performance analytics.
• Data-driven decision-making.
• Automation and process improvement.