NielsenIQ
Market Research
Analyst,DataModeling
Neural analysis suggests this role is
optimal for mid candidates.
“Analyst, Data Modeling at NielsenIQ. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data models. Build and optimize data pipelines”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree in a quantitative field, 3+ years of experience in data analytics, Proficiency in SQL, Experience with Python or R
Nice to Have
Master's degree or PhD preferred, Experience with cloud platforms (AWS, Azure, GCP), Experience with data visualization tools, Experience with machine learning frameworks
What You'll Do.
Develop and maintain data models
Build and optimize data pipelines
Perform complex data analysis
Develop machine learning models
Create and maintain BI dashboards
Collaborate with stakeholders
Ensure data quality and integrity
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders
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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