Analyst Business Intelligence and Reporting at MTN

Job Description

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

Provides robust Intelligence and business analytics to support Mobile Money commercial strategy;
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 MoMo to conduct the business planning cycle;
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 resolution;
Develops new KPIs to better track performance;
Leverages international best practices and adapts to suit MTN environment;
Applies 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 case for new products and services and provides detailed product revenue and subscriber forecast;
Conducts post implementation reviews of product/ services and proposes actions to improve performance;
Ability to try out new BI tools or analytics techniques to find better ways of analysing data.

Candidate Requirements

Grade 12 certificate with 5 credit or better of which English and Mathematics are a must;
A degree in Statistics, Data Science, Computer Science, or related discipline;
Management Information Systems (MIS) or Business Intelligence experience of 2 years or more in the relevant sector/ industry;
Competencies in Pricing analytics and implementation, Business case development, Data mining and analytics among others;
Strong understanding of statistical analysis techniques;
Ability to communicate complex information effectively in report form;
Familiarity with common software tools used for big data analysis. These include SQL databases, SAS, Python and others;
Strong computer literacy, including proficiency in using spreadsheets and dashboards;
Ability to work both independently and as part of a team;

Women are strongly encouraged to apply!

Hand delivered or posted applications will not be accepted.

Note: that only shortlisted candidates will be contacted.