Customer Segmentation (Buying patterns and decision making factors )
- Customer Profiling, Scoring, and Lifetime Value Modeling
- Churn analysis
- Cross-selling models product affinity model, propensity to respond, predicted transaction rates, predicted sales value, predicted next purchase
- Models to optimize effectiveness of customer contacts and strategies as well as and service channel preference
- Real Time Analytics real-time scoring and offer generation models, assessing customer behavior over time for marketing event triggers to support automated marketing programs
- Assisting Marketing and business team with regular insights vis reporting and ad hoc projects
Develop predictive analytics based solutions for :
a) Customer Segmentation
b) Statistical Models across customer Lifecycle
c) Attrition / Cross-Sell / Upsell Propensity Models
d) Customer Lifetime Value
Qualifications :
- 3 - 5 years of Experience in customer insight/analytics, risk management is a must
- Excellent knowledge of Excel, R & SQL, encompassing data manipulation and statistical modeling/data mining techniques
- Very strong analytical skills, especially how data can be used in a marketing context to understand and influence customer behaviours
- Story telling skills are necessary
- Strong verbal and written communication skills
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