Purpose of the job
- Develop & deliver advanced descriptive, predictive and segmentation models and analytics.
- Delivery of timely, high quality and insightful analysis and datum on customer behavior and customer base, customer profiles, existing products & services, statistical models and other ad-hoc requests that deliver tangible business benefits and aide in Top Management decision making process.
- Utilize data mining tool for analysis that provides descriptive, association, clustering and segmentation.
Duties and responsibilities
- Crafting the roadmap for data mining and analytics in terms of both technical configurations and business use cases on the commercial side of business, ensuring consistency with business needs.
- Use Data Mining Tools and Techniques to develop advanced models and apply statistical theory in order to introduce, Design, develop. maintain and deploy innovative data models to increase base revenues and reduce customer churn.
- Lead the data science discussions with the Commercial Segments and propose new modern techniques to solve the customer issues and to enhance the marketing performance.
- Manage and apply statistical theories of Classification, Segmentation and Product Association (Market Basked Analysis) in order to aide in tailoring offers and targeted base campaigning.
- Manage the implementation and running on regular basis the RFM (Recency, Frequency, Monetary) model on the commercial side, to target customers on time with appropriate offers to stimulate usage and increase ARPU
- Create Pre-campaigns analysis, and propose customer segmentation logic for Target Segments and produce campaign post-assessment results.
- Support campaign activity with the interpretation of the response data from marketing tests
- Prepare reports on performance of campaigns underling the effectiveness of the used models
- Support Campaign activity with the design of statistically valid control groups and test cells for marketing tests.
- Manage the business rules relating behavioral patterns (purchases, transactions, life events) and their impact on important outcomes (churn, usage, propensity to buy)
- Creating and Updating on Regular basis a Universal Control Group that is used to measure the effectiveness of both Targeted and Overall campaign offers over time.
- Manage timely Ad-hoc reports and analysis on Orange subscriber base (customer Usage, Churn, Migrations, Profiling, etc.) to different Sub-Departments, monitoring base behavior in response to marketing and technological changes.
Job specification
Education
- Bachelor's degree in Business Information Systems ,IT or Engineering
- Additional Data Analytics Studies is required
- Additional Marketing studies is a plus.
- Masters degree is preferred.
Experience
- 10 years plus of relevant experience with data minning and modeling in telecom industry
- Commercial Business understanding
- Excelnt Knowledge of Microsoft Office Packages (Excel, Access and Powerpoint)
- A successful record in managing databases
- Experience in SQl and Statistics using SPSS Modeler is required
- Expericane using python and PowerBI is a plus
Skills and abilities
- Aware of different database programs and tools mainly
- Excellent project mangement skills.
- Fundamental knowledge of Key Business Indicators (KBIs)
- Strong player using technical tools.
- Excellent coordination and communication skills.
- Able to research, investigate and analyze business information.
- Ability to manage multiple tasks with constricted deadline and ensure deliverables quality standards.