Analytics Role - Telecom

Apidel Technologies - Job Opportunity - Telco Analytics -Malaysia

Position : Telco Analytics

Duration : Full Time

Experience : 5-8 Years

Job Description :

Purpose of Role :

- Projects will primarily involve delivery of analytical solutions on micro-lending strategy team for telecom clients. This role is responsible for efficiently and effectively developing risk/ propensity models and designing the lending strategies for micro lending to telecom subscribers while managing the expectations from multiple clients.

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 revenuevia 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.

- Mentor and coach junior team members in model development process

- Ability to deliver strategies/ model with a very short turn-around time through process optimization.

- Proactively communicate project status and deliverables through the life of the project

- Ensure issues raised by the client are resolved in a timely and efficient manner

- Support stakeholdersby providing guidance on data, project design to implementation.

- Strong Financial Acumen, able to manage the revenue and cost of the portfolios.

- Flexible to travel to client locations on short notice for project delivery/presales (up to10%)

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.

- Target market segmentation on profitability and credit risk.

- 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

- Ability to understand customer requirements and design analytical products according to client needs and support go to market strategy

- Experience in designing comprehensive MIS reports to help business decision making and providing consulting to the clients in determination of appropriate analytical methodology to their business benefits

- Analytical Consulting experience is a plus, supporting major telecom companies or other reputed consulting firms/ working in the risk analytics (model development & Validation).

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.).

- Experience in development, monitoring and fine tuning of machine learning models.

- Ability to interpret technical features into commercial benefits.

- Excellent and proven analytical and programming skills.

- Excellent communication and interpersonal skills.

- Excellent and proven project management skills.

- Excellent relationship management skills.

Qualifications :

- Degree or equivalent standard, with a high numeric content e.g. Mathematics, Statistics, Operational Research, Economics, Physical Sciences.