Analyst, Data Modeling (Python)

TL;DR

Analyst, Data Modeling (Python): Executing technical and statistical modeling projects to deliver high-quality consumer insights with an accent on data processing, model adjustment, and result validation. Focus on implementing machine learning algorithms, designing new methodologies, and solving complex statistical data issues.

Location: Shanghai, China

Company

NIQ is the world’s leading consumer intelligence company, delivering a comprehensive understanding of consumer buying behavior through advanced analytics and state-of-the-art platforms.

What you will do

• Execute daily modeling work, including data processing, model adjustment, and result validation.
• Identify and solve quality and statistical data issues throughout the project lifecycle.
• Manage the technical and statistical components of analytical products.
• Contribute to customized projects and develop innovative solutions for functional and industry applications.
• Support commercial teams in initial project design and provide technical expertise during client presentations.

Requirements

• BA/BS degree in Statistics, Mathematics, or a related field.
• Proficiency in Python.
• Solid statistical knowledge and the capability to design new methodologies.
• Strong understanding of Machine Learning algorithms (e.g., decision tree, random forest, SVM, XGBOOST).
• Effective communication and project management skills.
• Strong analytical and problem-solving abilities.

Nice to have

• Knowledge of R, VBA, SQL, or visualization tools like Power BI.
• Experience with Spark/PySpark and distributed computing tools (Hadoop, Hive, Map/Reduce).
• Experience using ArcGIS or QGIS.
• Background in the FMCG or Retail industry.

Culture & Benefits

• Flexible working environment.
• Volunteer time off.
• Access to LinkedIn Learning.
• Employee Assistance Program (EAP).