Manage end to end customer insights using data mining activities, social network analytics, Manage Data mining model lifecycle using SAS /SPSS/KXEN and ensure the optimum ROI for Marketing activities using the models. Formulate strategies for Bigdata analytics and real-time automated recommendation systems.
Client Details
Leading telecommunication in Kuwait
Description
- Manage data mining activity across organization in collaboration with relevant functions and identify opportunities, leverage on DM capabilities to improve quality of the customers, revenue, retention, and reduction in bad debts and enhance customer LTV.- Implement Industry standard Data mining processes to improve efficiency.- Work closely with marketing segment and CVM team to identify targets and actions and provide intelligent inputs and insights using BI capabilities.- Provide predictive knowledge using data mining capabilities and models to boost the business (churn, segmentation, tariff optimization, next best offer )- Liaison with other functions to develop strategies to use data mining capabilities for revenue generation and protection, improve customer quality and for predictive analytics
Profile
- 4 + years of experience in the Business intelligence & Data mining- Strong data mining expertise.- Strong statistical background.- Strong knowledge in Telco, Marketing domain.- Proficient in BI DWH systems and Teradata or other databases.- Excellent strategic thinking, analytical skills and the ability to be creative.- Aptitude to multi-task and prioritize effectively, manage pressure, and solve problems.- Strong coaching and team building experience- Ability to operate in a diverse multicultural, multinational work environment, exhibiting appropriate sensitivities- Knowledge of current Data Warehouse technologies, concepts and products.
Job Offer
Competitive Pay and Benefits
Job Details
| Date Posted: | 2016-07-21 |
| Job Location: | Kuwait |
| Job Role: | Marketing/PR |
| Company Industry: | Telecommunications |
| Monthly Salary: | US $4,000 |
Preferred Candidate
| Career Level: | Management |
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