Analyst, Data Modeling

NielsenIQ View all jobs

  • Shanghai
  • Permanent
  • Full-time
  • 18 days ago
Job DescriptionJob 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 InformationOur Benefits
  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)
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