Panel Quality Expert at NielsenIQ

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

10 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, R, Python, Excel, Model Development, Feature Mining, Data Statistics, Communication Skills, Logical Analysis, Market Research, Data Application, Business Growth, Data Infrastructure, Business Scenarios, Data Tools

Industry

Software Development

Description

Company Description ABOUT NIELSENIQ NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com. NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job Description 1.Be responsible for maintaining and optimizing the data push model in accordance with changes in the market and samples. 2.Be responsible for feature mining and model development of data; Construct suitable feature variables based on the requirements of the business model to mine the value of the data; 3.Be responsible for leading or assisting in sorting out data application requirements based on business scenarios and the current data status. And develop relevant tools for data analysis and model construction; 4. Based on data infrastructure construction and data application solutions, combined with industry experience and methodologies, achieve in-depth empowerment of business. 5. With the goal of addressing business needs, we will promote business growth by integrating industry experience and methodologies. Qualifications 1. Bachelor's degree or above, majoring in mathematics, statistics, computer science, or related fields, with over 2 years of working experience. 2. Familiar with the overall construction of the data platform, proficient in using tools such as SQL/R/Python/Excel, familiar with the modeling and development environment, and have an understanding of database languages. 3. Possess strong data statistics and analysis skills, communication skills, and logical analysis skills. 4. Candidates with industry experience in market research are preferred. Those with experience in market and operation data analysis and model construction are also preferred Additional Information /LP 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 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 Career Site Team: Operations

Responsibilities

The Panel Quality Expert will maintain and optimize the data push model and lead feature mining and model development. They will also assist in sorting out data application requirements and develop relevant tools for data analysis.