Senior Analyst - Planning and Analytics.Business Intelligence Competency Centre

MTN Group•Central, LA

About The Position

The Business Intelligence Analyst will primarily be responsible for leveraging expertise in analytics, modeling, and AI, alongside a strong understanding of the business, to identify and implement opportunities that enhance operations and improve the customer journey. Additionally, the role involves monitoring company performance and the broader business environment, translating data related to customers, channels, competitors, and macroeconomic trends into accurate, actionable strategic insights.

Requirements

A bachelor’s degree in Statistics, Mathematics or Computer Science
Proficiency in SQL and Python
Proficiency in Data Science & ML development and deployment
Advanced Knowledge in PowerBI.
Minimum 5 years in the area of specialisation
Experience in data science, machine learning & advanced data analytics.
Proficiency in Power BI, SQL, PowerPoint, and advanced Excel modeling.
Strong understanding of telecom KPIs, revenue models, and operational metrics.
Proven ability to simplify complex data and influence strategic decisions.
Strong analytical and storytelling skills.
Ability to align performance metrics with business goals.
Skilled in leading cross-functional collaboration and influencing senior stakeholders.
High attention to detail and commitment to data accuracy.
Proactive problem-solver with a results-driven mindset.
Expertise in Data Science & Machine Learning: Forecasting, segmentation, churn prediction, cluster analysis.

Responsibilities

Perform customer level analytics to help explain performance trends and provide insight in a timely manner for decision making.
Designing, developing, and maintaining user-friendly data visualizations and dashboards as well as Implementing best practices to ensure dashboard design consistency for the best user experience.
Carry out all regular and ad hoc data analytics activities to enable business to obtain better insights
Develop and maintain machine learning models for forecasting customer behavior, churn, and business outcomes.
Conduct gap analysis to identify underserved areas and optimize agent network deployment.
Analyze mobile money agent liquidity, float availability, and transaction patterns to detect stress points and seasonal trends.
Partner with teams in Commercial operations to understand business needs and deliver tailored analytics solutions
Use data-driven insights to guide business strategy, ensuring alignment with organizational goals and market dynamics
Develop business cases for new initiatives and products.
Assess the impact of pricing, promotions, and market dynamics.
Provide data-driven insights to support forecasting, budgeting, and strategic planning.