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Date of Posting: |
4th February 2008
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Title: |
Manager / Sr.
Manager / VP / AVP - Customer Analytics (CRM) |
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Company Name: |
A Fortune 200
Global Major |
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| Job
Description: |
Develop and
interpret statistical models for targeted acquisition,
retention, cross-sell, customer life-time value or behavioral
segmentation models using predictive modeling techniques that
include linear and logistic regression, cluster analysis, neural
nets and other statistical techniques.
Customer
Segmentation (behavioral and value based).
Customer
Profiling, Scoring, Customer Equity and Life-time Value
Modeling.
Acquisition
Models - Prospect targeting, prospect potential value, product
positioning, key influencers, product awareness.
Retention Models
- Loyalty, store choice, customer service, satisfaction,
propensity to churn, attrition models.
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.
Optimization
Analytics - Pricing and promotion optimization models.
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Function: |
Marketing
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Company Profile: |
A Fortune 200
Global Major |
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Location: |
Mumbai, Delhi,
Bangalore, Singapore, Dubai, US, UK |
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Candidate Profile: |
Understanding of
analytical CRM and experience in the analytical marketing
methodology and data mining.
Experienced in
the analysis of marketing databases using SAS, SPSS, or KXEN or
other statistical modeling tools.
Understand SQL;
experience with SQL a plus.
Excellent written
and oral communication skills with ability to clearly
communicate ideas and results to non-technical business people.
Degree in
Marketing, Operations Research, Mathematics, Statistics, or
Computer Science with an emphasis in Statistics. Advanced degree
is a plus.
Must be willing
to travel 100%.
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Level: |
Junior/Middle/Senior Management |
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Contact Information: |
Value
Consulting, India.
E-mail:
[email protected] |
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