Leveraging
internal data as well as external market data to develop quantitative and
predictive models while conducting analyses in support of the customer value
management team.
Provide a stream of practical actionable insights to
the rest of the business covering analysis of customer behavioural patterns
and potential campaign and recommend hidden opportunities through data
insights.
Perform
advanced micro analysis of customer
value bands within the database with practical insights and recommendations
on how to grow value and extend customer lifetime value by turning customer
insights into tangible campaigns and actions that will drive revenue.
Leveraging on advanced statistical
analyses with a detailed understanding of data mining techniques e.g.
predictive modeling, segmentations and providing strategic recommendations
and insights into key areas such as: retentions, churn, LTV, CVM, Portfolio
Management and Product Management.
Design advanced analytics to address customer behavior associated with
customer identification attraction, retention and customer developments.
Use
data mining tools in interpreting and analyzing large data sets through
cluster analysis, CHAID/CART, latent class, or other segmentation methods.
Design
models and advanced analytics to address customer behavior associated with
customer identification, attraction, retention and customer development.
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