NielsenIQ
Market Research
DataOperationsAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Data Operations Analyst at NielsenIQ. Skills: Data Operations, SQL, ETL, Data Warehousing. Monitor and maintain data pipelines. Ensure data integrity and quality”
Industry & Context.
Troubleshoot issues
What They're Looking For.
Must Have
5+ years of experience in data operations, Proficiency in SQL, Experience with data warehousing concepts, Experience with ETL processes, Experience with data modeling
Nice to Have
Experience with Python for data manipulation, Experience with data visualization tools, Experience with cloud data platforms, Experience with data governance principles, Experience with data quality frameworks
What You'll Do.
Monitor and maintain data pipelines
Ensure data integrity and quality
Develop and optimize ETL processes
Support data warehousing initiatives
Implement data governance policies
Troubleshoot data-related issues
Collaborate with data engineers and analysts
Document data operations procedures
How You'll Work.
Team & Collaboration
Data engineers; Data analysts
Full Job Description
Join GfK and help us shape tomorrow. As an NIQ company, we are the world's leading consumer intelligence firm, delivering the Full View™ on consumer behaviour. We enable manufacturers and retailers to better understand what consumers really want. With over 89 years of trusted expertise, we take pride in discovering new pathways to sustainable growth, for our clients, our people, and our planet. The newly established MI OAC (Market Insight Operation Acceleration Center) is a team of flexible and agile colleagues who will support MI Business as Usual (BAU) Data Operation teams during the critical phase of starting a new project. As a Data Operations Analyst , you will be responsible for executing production tasks with expert-level proficiency. This includes advanced data coding, data matching, and comprehensive quality checks as required and in line with operational goals and business requirements You will play a key role in stakeholder communication, ensuring timely and accurate data delivery, and leading investigations into data issues. You are expected to proactively suggest improvements and corrections to enhance data quality and operational efficiency. Key Responsibilities: Tasks and responsibilities may vary based on the business requirement as this team supports during the set up phase of new projects. Examples of activities: * Data Coding : Apply complex and nuanced coding logic across multiple product categories. * Data Matching : Ensure high accuracy matching across diverse data sources. * Quality Checks : Conduct end-to-end validation of product features and pricing. * Apply analytical thinking to identify outliers and anomalies in pricing, sales, and market trends. * Proactively suggest corrections and process improvements to enhance data quality and efficiency. * Maintain high standards of data integrity and consistency throughout the production cycle. * Communicate effectively with internal and external stakeholders to: * Implement requested changes in d
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