NielsenIQ
Market Research
SeniorAnalyst,DataModeling
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Analyst, Data Modeling at NielsenIQ. Skills: Data modeling, Statistical analysis, Machine Learning. Execute daily modeling work. Process data”
What You'll Achieve.
Deliver clean, robust, and meaningful results
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
Manage analytical products
Participate in customized projects
Contribute to innovative solutions
Support commercial teams
Answer technical questions
How You'll Work.
Team & Collaboration
Collaborating with commercial managers
Communication Scope
Effective communication; Results presentation
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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