Senior Manager Reporting & Analytics

Role purpose To lead CBU reporting, business intelligence and analytics, delivering trusted performance visibility and actionable insights that enable commercial growth, operational excellence and effective strategic decision-making. Key accountabilities and decision ownership CBU reporting and performance management • Own the CBU reporting and performance-management framework, governance calendar and standards for executive, commercial, sales, operational and regional reporting. • Lead day-on-day, week-on-week, month-to-date, month-on-month, year-to-date and year-on-year analysis to identify trends, gaps, risks and opportunities. Business intelligence, dashboards and automation • Lead the design, automation and continuous improvement of Power BI dashboards, scorecards and analytical products using SQL, Excel, Oracle and enterprise data platforms. • Define self-service analytics, data visualisation and reporting solutions that improve access, adoption, consistency and speed of decision-making. Commercial and customer performance insights • Oversee analysis of revenue, average revenue per user, customer base, usage, acquisition, churn, traffic, offers, products, promotions and pricing performance. • Lead diagnostic deep dives that explain variances and performance drivers and convert findings into practical recommendations for growth and operational improvement. • Evaluate campaigns, product launches, pricing actions and commercial initiatives through pre- and post-performance assessments. Sales, distribution and regional analytics • Provide end-to-end visibility of connections, activations, SIM registration, airtime sales, gross additions, channel performance and point-of-sale productivity. • Oversee analysis of field execution across regions, territories, distributors, channels, routes and points of sale, including coverage, outlet productivity and distribution effectiveness. • Monitor Distribution Management System performance and deliver actionable insights to Sales Operations and regional leadership. Commissions and incentive performance • Oversee the monitoring and evaluation of sales commission and incentive schemes, including implementation, effectiveness and performance outcomes. • Ensure commission calculations and incentive reports are validated and support reconciliation and payment verification with Finance and Billing. Data governance, quality and control • Establish data definitions, validation, reconciliation and control standards that create a reliable single source of truth. • Ensure accuracy, completeness, consistency and integrity across reports, dashboards, analytical models and management submissions. • Lead resolution of material data-quality issues with Technology, Finance and business data owners. Stakeholder partnership and executive decision support • Act as the senior analytics partner to Commercial, Finance, Sales, Marketing, Customer Value Management, Network, Strategy and regional leadership. • Translate complex data into concise executive insights, recommendations and decision papers tailored to stakeholder needs. • Align performance analysis and reporting priorities with business objectives and strategic initiatives. Team leadership and capability development • Lead, coach and develop reporting, business intelligence, business-performance and sales-analytics resources. • Set team priorities, quality standards and delivery expectations while building succession, analytical capability and a high-performance culture. • Promote data-driven decision-making, analytical discipline, innovation and continuous improvement across the organisation. Core competencies, knowledge and experience: • Extensive experience in BI, analytics, reporting and commercial performance management. • Strong telecom commercial, sales, distribution and financial acumen. • Proven ability to translate complex data into concise executive insights and recommendations. • Leadership experience with strong stakeholder influence across senior and cross-functional teams. • High analytical rigour, strategic thinking, judgement and attention to detail. Must have technical / professional qualifications: • Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science or a related field; postgraduate qualification is an advantage. • Advanced Power BI, SQL and Microsoft Excel. • Working knowledge of Oracle databases, data warehouses, data modelling, ETL and data-validation techniques. • Experience in forecasting, statistical analysis, dashboard development and business-case evaluation. • Telecommunications or another data-intensive industry experience for at least 5 years.