Analyst, Data Modeling

Responsible for executing technical and statistical aspects of modeling and analytical projects, ensuring high-quality and timely delivery. This role involves close collaboration with commercial managers and managing projects under senior guidance. Daily tasks include data processing, model adjustment, result validation, and identifying/solving data quality issues. The analyst will also contribute to customized projects and innovative solution development, and support commercial teams in project design and client presentations.

Must Have

• Execute daily modeling work including data processing, model adjustment, and result validation.
• Identify and solve quality and statistical data issues.
• Manage technical and statistical parts of analytical products.
• Participate in and contribute to customized projects and innovative solutions.
• Support commercial teams in initial project design and technical questions.
• Familiarity with Python.
• Solid statistical knowledge and capability to design new methodology.
• Good understanding of frequently used Machine Learning Algorithms (e.g., decision tree, random forest, SVM, XGBOOST, network analysis).
• Good analytical skills and problem-solving skills.
• Effective communication and project management skills.

Good to Have

• Knowledge with R, VBA, SQL, Visualization tool (e.g. Power BI).
• Experience using Spark/Pyspark.
• Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive).
• Experience using Arcgis or QGIS.
• Experience in FMCG / Retail industry.

Perks & Benefits

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

Job Summary

Responsible for executing technical and statistical aspects of modeling and analytical projects and for ensuring that projects are delivered to the high-quality standards and timeline agreed with clients.

This role will involve collaborating closely with commercial managers and being responsible for projects with guidance from senior analysts or managers.

RESPONSIBILITIES

• To execute daily modeling work including but not limited to data processing, model adjustment, result validation and ensure that clean, robust, and meaningful results are delivered in response to commercial brief
• To identify and solve quality and statistical data issues that may arise throughout the course of the project
• To manage the technical and statistical parts of analytical products
• To participate in and contribute to customized projects and the development of innovative solutions to support functional and industry applications
• To support commercial teams in the initial project design and answer technical questions that may arise in results presentation to clients

Qualifications

• Being familiar with Python is necessary
• Solid statistic knowledge and has capability to design new methodology
• Good understanding of frequently used Machine Learning Algorithm (e.g., decision tree, random forest, SVM, XGBOOST, network analysis, etc.)
• Good analytical skills and problem-solving skills
• Effective communication and project management skills are needed
• Knowledge with R, VBA, SQL, Visualization tool (e.g. Power BI) would be a plus
• Experience using Spark/Pyspark would be a plus
• Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) would be a plus
• Experience using Arcgis or QGIS would be a plus
• Experience in FMCG / Retail industry would be a plus

Additional Information

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.

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