Company Description

R25_0007966

We are seeking a motivated and detail-oriented Global Product and Platform Enablement Analyst with a strong background in machine learning and statistical analysis. You will be part of our Marketing Effectiveness product team, which focuses on optimizing marketing strategies through advanced analytics and data-driven insights. In this role, you will support our product and platform teams by analyzing data, troubleshooting issues, and customizing reports. You will work with professionals across the globe in a multicultural environment, gaining practical, hands-on experience in troubleshooting, data analysis, and problem-solving. You will also collaborate closely with our technical teams to ensure issues are resolved in line with our SLA’s.

Job Description

• Assist in the monitoring, maintenance and streamlining of the user experience for our global product and platform systems.
• As masters of the system, you will provide first-level support to users, addressing inquiries and resolving issues promptly.
• Analyze data and models using R and Python and troubleshooting coding issues.
• Collaborate with cross-functional teams to identify and implement process improvements.
• Document and track support requests, ensuring accurate and timely resolution.
• Participate in ongoing training and education opportunities to continuously enhance your product knowledge and technical analytics skills.
• Drive adoption through the development of easy-to-use platform user guides and support documentation.
• Combine your technical skills and product expertise to inform GenAI capabilities to streamline the user process and friction points for a positive user experience.
  
  

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
• Previous relevant work experience preferred.
• Solid knowledge of analytic programming languages (R and Python) and the respective machine learning/statistical modeling ecosystems.
• Solid knowledge of optimization and/or machine learning algorithms and/or deep learning algorithms.
• Solid knowledge of computer science fundamentals, software design principles and patterns, and testing strategies.
• Basic skills regarding working in (big) database environments (e.g., RDBMS, Spark, Hadoop).
• Solid skills with SQL.
• Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service).
• Solid statistical skills and knowledge of econometric techniques, including survey statistics, econometric modeling, observational causal inference, or experimental design.
• Basic understanding of Dockerization and Kubernetes/docker-compose.
• Solid skills in REST-API/GraphQL with the ability to deploy services.
  
  

Additional Information

Hybrid : 1 a week at Madrid office - Flex working mod

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

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. 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. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion