CredR - Consumer Analytics - IIT/BITS/NIT

- 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