Natalie serves as an essential bridge between marketing data and insights. She is deeply involved in all analytics across multiple marketing channels. Irene uses statistical methods and her SQL programming skills to analyze prospects' and customers' behavioral and transactional data. She provides highly valuable and actionable insights that lead to more effective, behaviorally driven marketing programs.- Marketing Analytics:Customer LifeTime Value Analysis, Predictive Modeling (Discriminant Analysis & Decision Tree), RFM Analysis, Segmentation Analysis (Hierarchical and K-Means Clustering), Factor Analysis, Conjoint Analysis, Market Basket Analysis, A/B & Multivariate Testing, Sampling Techniques & Sample Size Determining, and Perceptual Mapping- Statistical Analysis: Descriptive Analysis, Hypothesis Testing (t-test & chi-squared test), Correlation and Regression (Linear, Multivariate, & Logistic) Analysis, Time Series Modeling (Trend-Seasonal Method), and Analysis of Variance (ANOVA)- Research and Analysis: Quantitative (survey, experiment & content analysis) Research & Analysis, Qualitative (in-depth interview & focus group) Research and Analysis