The key responsibilities for this role include but are not limited to the following:

• Tracks customer product activity to enhance and develop effective pricing strategies for products and services;
• Gathers organizes, and communicates customer/business intelligence & insights to the entire Commercial space as well as other functions of the business including technology;
• Supports in the identification and definition of key opportunities to recommend pricing for existing products to deliver value to each consumer segment and behaviour;
• Uses statistics & software to analyze data and run the Customer Value Management (CVM) and Customer Lifetime Management (CLM) pricing operations, to drive customer needs, increase productivity and optimize MTN revenue;
• Supports Commercial Planning & Analytics (CP&A) and other commercial function with relevant pricing and commercial recommendations;
• Supports in the recommendation of pricing for various products and services for all commercial units;
• Uses analytics to understand customer needs and preference and use the FlyTXT platform to manage their value on the network to optimize ARPU and revenue;
• Delivers accurate, insightful, and timely analysis to guide Executive Management decisions, e.g., – in the areas of marketing campaigns, business models, churn management and revenue enhancement initiatives;
• Understands & applies analytical/research techniques, for e.g., – to deliver micro- segmentation and campaigns;
• Supports alignment of operational pricing objectives and consider the impact of solutions on all areas of the business;
• Works with internal business stakeholders in the development and execution product pricing and pricing plans;
• Supports input into the forecasting, planning, development and review of business plans and budget for the unit.

Candidate Requirements

• Grade 12 certificate with 5 credits or better of which English and Mathematics are a must;
• Degree in marketing or any other Business/Commerce related degree;
• Proficient in Analytics, Research Methods, Data Mining, GIS software, SAS, and other related statistical software for analysis;
• At least 2 years experience in a similar position, in a dynamic and fast-moving industry;
• Training in Advanced knowledge of Excel and Financial knowledge is essential.

Women are strongly encouraged to apply