Data Operations Analyst at NielsenIQ

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Processing, Database Creation, Data Validation, Statistical Analysis, MS Excel, Communication, Team Spirit, Problem Solving

Industry

Software Development

Description

Job Description Role purpose: Follows coding rules and standards to meet the needs of the business and ensures completeness, accuracy, and timely delivery. The Data Operations Analyst is a role responsible for analysis and data processing in a timely and high-quality manner in the range of assigned product categories. Responsibilities: Conducting processes that lead to the creation of a database according to the client’s requirements. Adding new products and characteristics to the database, validating the correctness of received data, identifying outliers in the trends, and ensuring proper corrections are made where appropriate. Archive and supply product catalogues, product lists, and barcode lists from manufacturers, websites, leaflets, and/or from the field for ad-hoc projects or categories under focus. Execute production activities of the assigned panel/industry in collaboration with other operational teams. Follow and monitor the Data file flow. Create and maintain process documentation. Maintain statistical samples and expansion factors to ensure an accurate representation of the universe. Investigate data inquiries and identify problems with local teams. Determine root causes as well as short and long-term resolutions. Be aware of newly launched or relaunched products provided by the system and keep an eye on the reality of the shelf vs the product provided by the product coding platform. Knowledge and skills: Computer literate (speed and quality/correctness) Knowledge of the English language (B2 level+) Knowledge of MS Excel Communication fluency Team spirit What we offer: Hybrid model of working Full-time position Life & Health Insurance Christmas, Easter, and vacation bonus Learning achievement academy Ongoing career growth and skill development Additional Information 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 Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook 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

Responsibilities

The Data Operations Analyst is responsible for analysis and data processing to ensure completeness, accuracy, and timely delivery. This includes creating databases, validating data, and collaborating with operational teams.