Customer Analytics

Must be able to interpret measurement definitions and perform data decomposition using data mining techniques and various approaches such as:

- Data processing for statistical analysis (eg. Edit data types, grouping or binning cases, reviewing outliers)

- Regression analysis

- Cluster analysis

- Factor analysis

- Decision Tree analysis

- Association Rules mining

- Experience building analytical solutions and delivering tangible business value for in one or more of the following
fields would be a plus:

- Pricing and promotional effectiveness

- Loyalty program effectiveness

- Customer segmentation and targeting

- Customer LTV maximization

- Churn prevention

- Delivery fleet consolidation

- Delivery footprint/territory expansion (or reduction)

- Network real estate reorganization

- Cost modeling of transportation & logistics operations

Shruti Sharma