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22 hours ago
As a Telecom Data Analytics Expert, you will play a key role in driving commercial improvement in customer lifecycle management and increasing revenue through the use of advanced analytics and data mining techniques. This involves developing predictive models, discovering insights, and identifying opportunities through the use of big data, real-time campaigns, statistical, algorithmic, data mining, and visualization techniques.
Key Responsibilities- Support the development of customer value management strategies and initiatives
- Drive commercial improvement in customer lifecycle management
- Identify new revenue opportunities by understanding customer behavior and developing predictive models accordingly
- Develop and fine-tune CVM models to create insights and predict customer behavior
- Strong analytical and problem-solving skills
- Proficiency in R, Python, and advanced analytics platforms like SAS and DTAIKU
- In-depth knowledge of big data and real-time capabilities
- Ability to communicate complex ideas effectively
The ideal candidate will have 6+ years of telecom experience, at least 4 years of which must be in the data science field. An in-depth understanding of business drivers and consumer behavior in a telecom environment is essential.
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Telecom Analytics Specialist
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Data Scientist
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