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.