• Provide input into proposition development process through engagement with product owners and provide technical advice on the Base management implications regarding prioritization of specific initiatives. • Manage delivery of insight for customer base to the rest of the business, including actionable value- and needs-based segmentation linked with competitor intelligence, and market research. • Analyze commercial impact of BTL programs on product penetration/uptake, ARPU and value churn and conduct operational analysis of base to identify opportunities to apply products and tariffs to maximize value. • Perform channel mix optimization for base development & retention activities, optimize channel execution by setting volume and value targets based on the approved budgets. • Lead the planning of proactive and reactive customer lifecycle management and active base management actions and offers. • Monitor campaign results, including compilation of periodical activity, budget compliance and feedback reports to design new value propositions. • Evaluate customer propensities to respond to campaigns and forecast the impact of campaigns ‘on customer usage and behavior. • Design and develop CVM daily, weekly and monthly dashboard to monitor subscriber health and profitability. • Development of the business requirements to enable an operational process for the effective execution of multiple campaigns across multiple dimensions. This will include the effective implementation of the required processes across different business areas that will deliver on these business requirements. • Prepare and present Customer Retention & Development plans across segments. • Forecast, plan, develop and review budget for the unit that provides MTN with return on investment.

• A bachelor’s degree in information technology, actuarial science, computer science, Statistics or Business computing • Other Training: • Statistical analysis and machine learning model development • Business analysis and intelligence • Customer value management (customer analytics and campaign management) • Business management training. Performance Management. • Advanced accounting training and statistical modeling • Experience: • 5 years experience • At least 3 years’ experience in business analysis and financial modeling in the marketing environment. • Proficiency in data analysis tools and languages (e.g SQL, Python, R). • Strong analytical thinking and problem-solving skills. • Excellent communication skills with the ability to translate data insights into actionable recommendations. • Detail-oriented and able to manage multiple data sources efficiently. • Demonstrated leadership in predictive and heuristic modelling within a large organization. • Knowledge, skills and competencies • Results Achiever – Produces sustainable commercial results through ethical practices. • Operationally Astute – Sets priorities, plans, organizes and co-ordinates work to deliver the highest commercial returns. • Ability to Translate commercial objectives to technical terms for ensuring underlying system readiness. • Strong Strategic and Analytical Thinking • Strong Knowledge in Campaign Management and CRM tools (Flytxt is an added advantage) • Advanced statistical software skills (SQL, Python, R, etc) • Advanced use of Excel (Excel, VBA for Excel, etc) • Business and strategic acumen