Responsibilities

• Provides robust Intelligence and business analytics to support Mobile Money commercial strategy;
• Carry’s out comprehensive business and departmental reporting;
• Monitors and forecasts revenues and other KPIs to ensure that the business has clear visibility of how each revenue line/KPI is performing against budget;
• Supports MTN Zambia to improve data analytics competences and performs deep dive MoMo analytics to understand consumer usage behaviours;
• Supports MFS to conduct the business planning cycle;
• Participates and provides input in strategic meetings;
• Manages and resolves escalations that have impact on critical path of service delivery;
• Escalates issues that will result in significant time, scope, employee/customer or cost impact if not resolved;
• Manages and provides solutions to issues that require formal resolutions;
• Develops new KPIs to better track performance;
• Leverages international best practices and adapt to suit MTN environment;
• Explores innovative ways to automate reporting and analytics;
• Apply market research in an optimal way to add as much value as possible to other areas of the business;
• Proactive research and speedy communication of results and recommendations to the relevant areas to build a competitive advantage;
• Encourages continuous service improvements;
• Proactively seeks information on business issues, particularly outside the Products and Services function which may impact on the commercial department;
• Supports to develop business cases for new products and services and provides detailed product revenue and subscriber forecast;
• Conducts post implementation review of product/ services and proposes actions to improve performance.

Requirements

• A degree in Statistics, Data Science, Computer Science, or related discipline and Masters is advantageous;
• Management Information Systems (MIS) or Business Intelligence experience of 2 years or more with at least 2 years in relevant sector/ industry;
• Worked across diverse cultures and geographies advantageous;
• Competencies in Pricing analytics and implementation, Business case development, Data mining and analytics among others.
• Member affiliation to relevant institution.

Women are strongly encouraged to apply

Hand delivered applications will not be accepted and closing date for accepting applications is 17th August 2022.

Note: that only shortlisted candidates will be contacted.