Senior Data Analyst

Summary: Plays a pivotal role in driving data-informed decision-making across Telecel Cash’s products and operations. Responsible for end-to-end delivery of high-impact analytics, this position ensures strategic alignment between business objectives and data capabilities. The role focuses on delivering accurate, timely, and actionable insights that enhance operational efficiency, support regulatory compliance, and fuel growth. By leading the data project lifecycle—from requirement gathering to insight dissemination—the incumbent acts as a strategic partner to senior stakeholders, transforming complex business challenges into structured analytical solutions. The position also enforces rigorous data governance, quality standards, and innovation through automation and advanced analytical tools. Responsibilities: Lead the preparation, validation, and submission of all scheduled and ad-hoc regulatory and external reports, ensuring data quality, privacy, and security. Deliver business performance insights across Telecel Cash, providing timely, accurate, and decision-ready analysis to senior stakeholders. Serve as a strategic thought partner by reframing ambiguous business questions into structured analytical problems and actionable recommendations. Bridge the gap between business needs and data capabilities to ensure analytical outputs align with strategic priorities. Oversee end-to-end business analytics with a focus on revenue, margins, commissions, subscriber activity, and transaction KPIs; proactively identify and investigate deviations and risk areas. Establish and enforce analytical standards, documentation, and quality controls to ensure consistency and reliability of insights. Design, automate, and disseminate interactive business dashboards to generate real-time, actionable insights. Train teams on analytics software and tools to build data literacy and drive adoption across the organization. Requirements Requirements: Bachelor’s degree in Accounting, Finance, Computer Science, or Mathematics. Proven experience and strong understanding of machine learning and data mining. Proficiency in SQL, Python, R, Power BI, Tableau, and other relevant analytical and reporting tools. Demonstrated experience in the telecoms or mobile money ecosystem. Strong analytical, conceptual, and problem-solving abilities with excellent attention to detail. Excellent communication skills with proven ability to present complex data insights clearly and confidently to diverse audiences. Experience in leading cross-functional data initiatives and driving change through innovation and automation.