Kuwait Company Jobs, Ooredoo, Senior Manager, Data mining

The Company:
Ooredoo is an organisation on the move. Thanks to our dedicated employees, we continue to move closer towards our vision to be among the top 20 telecommunications companies in the world by 2020.Ooredoo’s future is bright, and you can be part of our ongoing success.

Role Purpose:
Support marketing value generation activities by developing and applying sophisticated customer insight generation and complex modelling, and segmentation activities. Answer critical business questions around marketing/sales funnel optimization, customer retention, business investment prioritization related to customers value management and identifying opportunities, etc. Interact with key business stakeholders for data mining model related activities and own end to end data analysis and modelling of assigned projects. Create sustainable models and participate in the continuous improvement of predictive analytics framework. Leverage insights gained from analytics into actionable business recommendations. Measure marketing CVM related activities, act as the custodian of the models used for CVM activities and ensure accuracy and optimum performance of the models.

Key Accountabilities & Responsibilities:

• 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.
• Provide predictive knowledge using datamining  capabilities and models to boost the business (churn, segmentation, tariff optimization, next best offer )
• Develop and maintain LTV and Survival models for marketing actions.
• Manage and develop Intelligent Customer DNA for commercial actions.
• Develop right  Segments and  clusters for marketing actions

• Use Social network analytics for identifying the right communities and enhance the marketing efforts  and product penetration
• Manage Datamining Eco system.

• 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 datamining  capabilities and models to boost the business (churn, segmentation, tariff optimization, next best offer )
• Develop and maintain CDNA, LTV and Survival models for marketing actions.
• Develop and implement various marketing   segments.
• Own and Measure the incremental  outcome of CVM activities compared with the UCG and  act as the official reporting source of such KPIs
• Liaison with other  functions to   develop strategies to use data mining capabilities for revenue generation and protection, improve customer quality and for predictive analytics
• Engage with Tec DWH for BI operations as per the SLA
• Engage with Technology management and planning team and implement various DM   initiatives as required.
• Collaborate and aligned with Group data mining   strategic initiatives and polices.
• Engage with peers in the   group and Opcos and share knowledge and models
• Implement Group commercial team recommendations and fulfil the requirements as per their guidelines.   Proactively manage and motivate the team to be highly professional and results oriented.
• Work to improve employee performance through personal coaching and identifying training and development needs.
• Recruit reporting staff as required.

• Conduct annual performance appraisals (Performance Management System) and ensure objectives set are monitored and achieved.

Qualifications:
Bachelor degree or above in Business Intelligence, Marketing, Statistics, Economics, IT or a related discipline.

Other Information:

• Required 7-8 years of experience

• 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.
• Excellent command of both written and verbal English, Arabic would be an advantage
• Management skills

• Strong  data mining skills using SAS
• Strong Analytical skills
• Statistical knowledge
• Good knowledge of MS Office
• Strong interpersonal communication skills