Design and execute advanced analytical approaches including regression modeling, segmentation, factor analysis, Bayesian methods, time series modeling, and causal or quasi-causal techniques
Lead market research–specific analyses such as MaxDiff, TURF, discrete choice / conjoint models, and advanced segmentation solutions
Apply predictive modeling and machine learning where appropriate to marketing problems
Transform, validate, and integrate large, complex datasets across survey, CRM, behavioral, and experimental sources
Work within modern data environments and enterprise data warehouses (e.g., Snowflake, BigQuery, AWS) to support scalable, reproducible analytics
Translate complex analyses into clear, actionable insights, communicating the “why” behind results through strong storytelling and visualization
Serve as a trusted thought partner to Business Units and client-facing teams

Requirements

BA/BS in a related field such as Business, Economics, Statistics, Data Science, or Social Sciences
4–7 years of experience applying advanced analytics in market research, marketing science, customer analytics, or a related field
Strong proficiency in R and/or Python for data manipulation, modeling, and visualization
Proven ability to translate complex analyses into clear business implications in a client-facing or stakeholder-facing environment
Excellent written and verbal communication skills

Benefits

Health insurance
Professional development opportunities
Flexible work arrangements

Applicant Tracking System Keywords

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

Hard Skills & Tools

regression modelingsegmentationfactor analysisBayesian methodstime series modelingpredictive modelingmachine learningdata manipulationdata visualizationadvanced segmentation

Soft Skills

storytellingcommunicationclient-facingstakeholder-facinganalytical thinkingproblem-solvingcollaborationtrustworthinesspresentation skillstranslating analyses