Principal Data Operations Analyst

System Change and Data Corrections

Stakeholder Management & BAU Collaboration and Communication

Quality Assurance

Qualifications - Technical

• Experience with Python, FoxPro, and Cloud Platforms.
• Large data handling skills with exposure to multiple formats and TLog data.
• Understanding of SAP and transactional data handling.
• FTP and MFT setup and maintenance.
• Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.
• Strong analytical and problem-solving skills.
• Proficient in complex business process modeling and data modeling concepts.
• Strong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).
• Extensive knowledge in Retail, specifically in POS and supply chain.
• Understanding of factory processes.
• Proficiency in developing Unix/Python queries.

Qualifications - Skills

• Master's Degree or technical institute degree/certificate in statistics or data analytics, or equivalent work experience.
• 3+ years of relevant professional work experience.
• Understanding of various data and file formats.
• Ability to interpret different data structures and mapping.
• Flexibility to work according to local time zones and follow country holidays for supported countries.
• Strong technical knowledge and business interpretation of data.
• General systems understanding from an ETL point of view.
• Fluent in English; local market language skills (if required by markets).

Skillset Required

• Extensive knowledge in Retail, specifically in POS and supply chain.
• General systems understanding from an ETL point of view.
• Experience with Python, FoxPro, and Cloud Platforms.
• Large data handling skills with exposure to multiple formats and TLog data.
• Understanding of SAP and transactional data handling.
• FTP and MFT setup and maintenance.
• Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.
• Proficient in complex business process modeling and data modeling concepts.
• Strong knowledge of Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).
• Understanding of factory processes.
• Proficiency in developing Unix/Python queries.

Success Measures

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

Our commitment to Diversity, Equity, and Inclusion