NielsenIQ
Market Research
Analyst,DataModeling
Neural analysis suggests this role is
optimal for mid candidates.
“Analyst, Data Modeling at NielsenIQ. Skills: Data modeling, Statistical analysis, Machine Learning. Execute daily modeling work. Process data”
What You'll Achieve.
Deliver high-quality standards; Deliver projects on timeline
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Familiar with Python, Solid statistic knowledge, Capability to design new methodology, Good understanding of Machine Learning Algorithm, Good analytical skills, Problem-solving skills, Effective communication skills, Project management skills
Nice to Have
Knowledge with R, Knowledge with VBA, Knowledge with SQL, Knowledge with Visualization tool, Experience using Spark/Pyspark, Experience working with large data sets, Experience with distributed computing tools, Experience using Arcgis, Experience using QGIS, Experience in FMCG / Retail industry
What You'll Do.
Execute daily modeling work
Deliver clean results
Deliver robust results
Deliver meaningful results
Manage analytical products
Contribute to customized projects
Develop innovative solutions
Support commercial teams
Answer technical questions
How You'll Work.
Team & Collaboration
Collaborating with commercial managers; Guidance from senior analysts
Communication Scope
Effective communication
Process & Methodology
Project management
Full Job Description
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 Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artif
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