Customer Analytics

• Required Data management skills (e.g., data modeling, data integrity QA/QC)
• Customer lifecycle management, segmentation, acquisition, growth, retention
• Promotion effectiveness, pricing, store performance analysis
• Market Mix modeling, campaign effectiveness evaluation

Experience in core analytics techniques, including:

• Statistics (t-tests, ANOVA)
• Variable reduction (Factor Analysis, PCA)
• Segmentation/clustering techniques
• Predictive modeling (logistic regression, linear regression)

Qualifications:

• Bachelor's or Master's degree in Business Analytics, Management, Computer Science, Operations Research, or Statistics from a Tier 1 institution