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 timely delivery of market data to clients. You will be part of NIQ's global Operations function, which is undergoing a significant transformation with the integration of automation, AI-enabled workflows, and advanced technologies. This role emphasizes critical thinking, problem-solving, and continuous improvement.

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

• Bachelor's degree in Arts and Science.
• Good working knowledge of Microsoft Office, particularly Excel.
• English proficiency (B1-B2 level or above).
• Analytical thinking, attention to detail, and knowledge of Market Research.
• 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.
• Ability to work effectively within structured processes while identifying opportunities for improvement.
• Strong collaboration and communication skills.
• 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 organisation.
• 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.