Job Description

Posted on May 27, 2022

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

Assists with developing business growth plans and supports products and services planning and forecasting process by providing information on usage and targets;
Constructs, implements and fine-tunes methods, processes, and systems to enhance effectiveness and meet organizational goals, considering the impact of solutions on other areas of the business, as well as the interdependence of units;
Originates and manages research around consumer insights and market share and exploit findings for the benefit of MTN Mobile Money Limited;
Builds and maintains sustainable and profitable relationships with all stakeholders;
Provides inputs for the forecasting, planning, development, and review of budget for MTN Finance department;
Bases annual budgets on the identification of trends and patterns within the current operations and extrapolates these over the next planning cycle, taking any known changes into consideration;
Analyses key internal and external performance indicators;
Participates in project lifecycle from new product research, modelling, implementation, and ongoing product evaluation;
Contributes to timely submission of requested financial information to MTN Mobile Money Finance (Forecasts and business plan).
Facilitates accurate data analysis and reporting on performance update, project deliverables, quality, cost, time, etc;
Evaluates situations and determines the best methods to reach defined outcomes.

Candidate Requirements

Grade 12 certificate with 5 credits or better of which English and Mathematics are a must;
Degree in Accounting, Business/Commerce, or equivalent field
A minimum of 3 years’ experience in Data Science / Engineering / Visualization is required
Experience in Fintech, banking or Telecom is preferred
Knowledge of modern Big Data platforms and Open-Source solutions to database, data analysis, and data management
Deep knowledge and experience in data reporting/visualization tools (Power BI, Tableau, etc.)
Deep knowledge and experience in data analytics tools (SQL, Python, SAS, etc.)

Women are strongly encouraged to apply
Hand delivered applications will not be accepted.
Note: that only shortlisted candidates will be contacted.

To apply for this job please visit mtnzambia.zohorecruit.com.