Senior Manager Reporting & Analytics
DR Congo·Kinshasasenior
AnalyticsData & AI
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Quick Summary
Requirements Summary
• 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.
Technical Tools
AnalyticsData & AI
## 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.
Location & Eligibility
Where is the job
Kinshasa, DR Congo
On-site at the office
Who can apply
Same as job location
About this job
- Posted
- Today
Listing Details
- Posted
- October 26, 2026
- First seen
- October 26, 2026
- Last seen
- October 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 57%
- Scored at
- October 26, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
4 other jobs at
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