1.    Performance Monitoring & Reporting

•    Track and analyze site-level KPIs including subscriber acquisition, recharge, churn, ARPU, SOGA, usage, mobile money revenue, and profitability.
•    Automate dashboards and reports to support daily, weekly, and monthly decision-making.
•    Lead regional performance reviews and provide actionable insights to stakeholders.
2.    Geospatial & Market Intelligence

•    Use GIS tools (e.g., ArcGIS, QGIS, Python GeoPandas) to analyze network coverage, sales patterns, population density, and competitor presence.
•    Segment regional markets by demographics, income, device usage, and digital behavior to inform targeted campaigns and field execution.
•    Monitor competitor activity including footprint, pricing, promotions, and SIM trends.

3.    Predictive Analytics & Modeling
•    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.

4.    Commercial Strategy Support
•    Support network rollout and optimization decisions with internal and external performance data.
•    Translate complex data into clear business recommendations for pricing, loyalty, and customer acquisition strategies.

Key Performance Areas
•    Timely and accurate performance reporting.
•    Automation and visualization of key metrics.
•    Delivery of actionable insights that influence commercial outcomes.
•    Development of robust business plans and financial forecasts.

Education

•    Bachelor’s degree in data science, Statistics, Economics, Computer Science, Engineering, or a related field.
•    Certifications in Data Science, GIS, or Business Intelligence are an added advantage.

Work Experience            

•    5 years in tthe area of specialization
•    Proficiency in Power BI, SQL, PowerPoint, and advanced Excel modeling.
•    Strong understanding of telecom KPIs, revenue models, and operational metrics.
•    Experience in financial modeling and performance reporting.
•    Proven ability to simplify complex data and influence strategic decisions.

Skills / physical competencies:

• 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.
  • GIS & Spatial Tools: Geospatial data handling, white spot mapping, agent clustering.