We are seeking a detail-oriented, focused Data Governance Analyst to ensure the quality and trustworthiness of our data attribution through robust taxonomy management; making fast but thoughtful decisions while considering regulations and trends in the FMCG and grocery industries. This role is vital in enabling scalable, efficient, insight-ready data across our products and services. 

The Label Insight Data Governance Team, situated in our Product Team, is dedicated to ensuring the quality, integrity, and usability of data across the organization. Comprising three specialized teams—Attribute Health, Source Quality, and Data Support—it works collaboratively to uphold robust data standards, validate AI-generated outputs, and provide responsive, client-focused support. Together, the team enables scalable, trustworthy, and insight-ready data that powers our products and services. 

• Manage the processing of globally sourced, English language data that powers attribution for various solutions. This includes on-package marketing text, ingredients, and nutrient data. 

• Perform taxonomy recognition tasks to ensure our attributes achieve the required quality thresholds 

• Identify and support process, system and automation developments to increase quality and efficiency 

• Be able to interpret, analyze, and clearly communicate our data and taxonomy structure as needed 

• Audit, improve and develop internal database taxonomies 

• Expand our database to align with growing market trends and global expansion projects 

• Work with customer success teams to investigate and resolve customer inquiries relating to our attribute taxonomy 

• University degree, bachelor's degree or equivalent 

• Native speaker or fluency in the English language - both verbal and written 

• Detail-oriented with the desire and ability to pick up new skills quickly 

• Comfortable with repetitive tasks 

• Self-motivated and able to manage deadlines and time on projects independently 

• Eager to learn new technology platforms (Coding, BI tools, GitHub, etc.) 

• Experience in data quality management, data review, or data cleaning is preferred 

• Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, SharePoint) 

• Familiarity with BI and data querying tools and languages (including Looker, Power BI, Solr, SQL, and ElasticSearch) advantageous 

Training will be provided for: 

• All Label Insight proprietary tools and platforms for the creation, management, and review of data 

• Internal NIQ tools and databases 

Hybrid : 2 per week / Office Sofia, Bulgaria

#li-hybrid

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

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