Manager, Pricing High Value at MTN Nigeria

About the job

• To ensure that strategic/marketing decision-making is supported by an accurate, efficient, and effective marketing/financial modeling information support system, as well as leveraging internal and external research.
• Review and evaluate trends and advances in telecom technology markets, provide product feasibility and forecasts, and develop business case.
• Estimate economic lives and depreciation schedules for telecom investments.
• Use relevant metrics and measures to routinely monitor the pricing of products, services, and the billing system with a view to providing insight into the competitiveness and responsiveness of MTNN products and services.
• Review the information generated through the intelligence system and solve any related information problems. Access secondary data sources to correct or complete intelligence information.
• Use market analysis, customer satisfaction and internal service costing data to develop and manage value-based pricing strategies across the full range of MTNN products and services.
• Review market and internal conditions, analyse data for use for developing business cases and develop strategic technology, market and financial plans.
• Develop optimal pricing models for all MTN N products and services.
• Execute data analytics that distill key business issues.
• Drive information dissemination with marketing teams by developing and managing a process.
• Coach and train the team to ensure understanding of the objectives and goals of the department, awareness of set targets and requirements, and regular review of their training needs.
• Review the performance of individual team members and complete appraisals in accordance with the employee performance appraisal procedures and time schedules.

Education:

• A first degree in Economics, Accounting or a related discipline

Experience:

6 – 13 years’ experience which includes:

• Minimum of 3 years’ experience in an area of specialization; with experience in supervising/managing others.
• Experience working in a medium to large organization.
• Strong talent for drawing up conclusions and recommendations from complex set of data.
• Hands-on experience in accounting and financial forecasting.
• Eligible Females are strongly encouraged to apply.