Job Description

This role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System change surveys, BAU query resolution, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team.

Apart from this, the team is also responsible to analyze, classify and management of the data.

Collaborate with the Supplier Engagement Lead on retailer onboarding.

Ensure compliance for received data by working closely with retailers and NielsenIQ teams.

Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.

Drive specific quality improvement goals for retailers, including change management related to data receipt.

Handle large data sets with exposure to multiple formats and TLog data.

Understanding of SAP, 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

Qualifications

Experience with Python, 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.

Extensive knowledge in Retail, specifically in POS and supply chain.

Proficiency in developing Unix/Python queries.

Additional Information

Must have work experience in SQL and Python

Willing to work in Flexible shifts

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://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

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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Our commitment to Diversity, Equity, and Inclusion

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

Senior Data Operations Analyst(Python & SQL)