The
Data Mining role is to design data models and analysis of services used
to mine enterprise systems and applications for knowledge and
information that enhances business processes.
- This
individual is also responsible for building, deploying and maintaining
data support tools, metadata inventories and definitions for database
file/table creation.
- The role includes, as well, transfer of
knowledge by enhancing the department's data analytic capabilities
through the training of other members of the department in performing
basic and complex data analysis techniques.
- Execute
divisional analytics & data mining projects from start to finish
including project management, data manipulation, preparation, modeling,
validation and communication of key insights.
- Provide Analytical Services where needed to improve segment performance and enhance customer experience within the company.
- Conduct
extensive mining of large databases to analyze marketing programs
performance, productivity by segment and generate detailed reports that
drive insight and highlight opportunities for incremental revenue, churn
improvement, and increased customer satisfaction.
- Develop
statistical and predictive models for different marketing initiatives
(ie. Customer segmentation, churn, cross sell, fraud, customer lifetime
value, customer profitability, campaigns response rate, customer
potential & future value, Social network size & value) by using
different data mining tools (example : SAS enterprise miner, excel
mining tool)
- Apply
statistical and data mining techniques such as Decision Trees, Logistic
regression, clustering and Neural Network, Time series Analysis to make
recommendations for Go-to-Market initiatives.
- Develop and effectively present, graphically and verbally, analysis of data that support developed hypothesis.
- Prepare ad-hoc analyses as required (ARPU, MOU, churn, cross/up sell, migration, acquisition, post campaign evaluation, etc).
- Ability
to translate business problem into data mining problem and marketing
strategies/initiatives into actionable database marketing deliverables
- Experience
in gathering detailed data requirements, working with large data sets
and data mining techniques. Experience should include data cleansing,
partitioning, compiling and manipulation, for purposes of business and
statistical analysis;
- Ability to perform drill down analysis and apply business knowledge to solve problems and prove hypothesis
- Experience
in data preparation, predictive modeling, scoring, and strategic
deployment of analytics results (ie. Segmentation model, Potential churn
modeling) to provide maximum business value to company's Internal
customers.
- Demonstrated understanding of business with strong analytical and problem solving skills
- Strong PC Skills - MS Access, PowerPoint and Excel.
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