Essential Duties and Responsibilities - Own the development, implementation and tracking of Micro Lending strategies for Telco clients. - Develop, monitor and fine tune industry best practice risk/ propensity/ segmentation models for telecom clients using Python/ R. - Develop data driven strategies to optimize revenue via improved acquisition (Increase acceptance rate, Reduce Bad rate), account management (additional top up, activation etc.) & collections. - Analyze Top up and revenue pattern based on customer behavior and provide recommendation to new products/ offers. - Generate ad-hoc management reports to demonstrate the impact of the strategies. - Expertise to perform hands-on modelling work including data extraction, manipulation and model development. - Establish continuous analysis of subscriber data to achieve deeper understanding of customer profiles, behavior and product requirements. - Flexible to travel to client locations on short notice for project delivery/presales (up to 10%) Knowledge & Experience - 5-7 years of experience in telecom industry working on data analytics and strategy design with exposure to client handling and project management. - Experience in manipulation of large datasets including data acquisition from all relevant sources, maintain databases/data systems, analyzing, and interpreting patterns in complex data files, both structured and unstructured. - Deep undersigning of telecom data structure and types eg CRM data, CDR data, VAS data, USSD etc. - Experience in analyzing telco data and delivering projects covering: - Statistical modelling/ customer segmentation on Telco customers for potential cross sale or up-sale opportunities. - Pricing strategy development for telecom product through customer behavior analysis, price sensitivity analysis, and network utilization. - Identifying risky telco customers by their propensity to default. - Predicting customer churn, activation and conversion to more value added services Skills & Competencies - Thorough understanding of development of risk/ propensity models and lending strategies using the said models to accelerate portfolio growth is a must. - Thorough understanding of telco business and impact of strategies on subscriber behavior is a must. - Strong programming skills in Python and R is a must. - Strong understanding of the use and application of conventional analytical methodologies (Linear and Logistic Regression etc.) and segmentation techniques (CHAID, CART etc.).

Malaysia

Experian - Analytics Consultant 

Experian - Analytics Consultant  ,Job Description for Experian - Analytics Consultant  in Experian in  Malaysia for (3-8) years of experience. Apply Now!

Job Description for Experian - Analytics Consultant  in Experian in  Malaysia for (3-8) years of experience. Apply Now!