Develop and apply ML Models, advanced analytics, and GenAI to marketing and commercial use cases.
Work with large, complex datasets including consumer tracking, household panels, and syndicated retail data.
Partner with data platform teams to enable scalable, real-time analytics solutions.
Translate analytical outputs into clear business recommendations for global stakeholders.

Requirements

Strong experience in marketing, consumer, or shopper analytics, ideally within CPG or a related industry.
Hands-on expertise in advanced analytics, statistical modeling, and data analysis.
Experience working with consumer tracking, household panel, and syndicated retail data (e.g. Nielsen, household panels).
Proficiency in Python, R, SQL, Power BI; experience with Azure ML or similar platforms is a plus.
Experience applying analytics to real business decisions (Marketing, growth, pricing or optimization).

Benefits

A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage: 15

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningadvanced analyticsstatistical modelingdata analysisPythonRSQLPower BIAzure ML

Soft Skills

communicationbusiness recommendationscollaboration