Senior Analyst – Planning & Analytics

Job Description

Requirements

• Education:
• Bachelor's degree in Statistics, Mathematics or Computer Science
• Proficiency in SQL and Python
• Proficiency in Data Science and ML development and deployment
• Advanced Knowledge in Power BI
• Work Experience:
• Minimum 5 years in the area of specialisation
• Experience in data science, machine learning and 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
• Skills:
• 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 and Machine Learning: Forecasting, segmentation, churn prediction, cluster analysis

Responsibilities

• Customer Analytics & Performance Monitoring:
• Carry out all regular and ad hoc data analytics activities to enable business to obtain better insights
• 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
• Commercial Strategy Support:
• 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
• Perform customer level analytics to help explain performance trends and provide insight in a timely manner for decision making
• Design, develop, and maintain user-friendly data visualizations and dashboards; implement best practices to ensure dashboard design consistency for the best user experience
• Analyze mobile money agent liquidity, float availability, and transaction patterns to detect stress points and seasonal trends