Job Description

Commercial Intelligence — Enterprise Division

Reports to: BIPM Executive / Head of Commercial Intelligence

Direct reports: Data / Financial Analysts x2

Division: Commercial Intelligence — Enterprise Division

ROLE PURPOSE

The Manager: Commercial Performance and Business Intelligence is responsible for building and maintaining the analytical infrastructure that supports commercial decision-making across the consolidated commercial and procurement functions. This role translates large volumes of transactional, financial, and operational data into actionable intelligence, enabling the Head of Commercial Intelligence and the broader team to make evidence-based decisions on content procurement, pricing, stock management, and customer/supplier/ product performance. The Manager also supports the development of dashboards, reporting frameworks, and data governance standards. This role also acts as the primary assessment gate between content acquisition and supplier/ customer approval, ensuring that no content, customer or supplier is onboarded or maintained that does not meet defined strategic and financial performance thresholds.

KEY RESPONSIBILITIES

• Design, build, and maintain BI dashboards and reporting tools that provide real-time visibility into content performance, stock levels, GP contribution, and treasury positions.
• Analyse transactional data across all content categories — airtime, data, bill payments, electricity, and vouchers — to identify trends, anomalies, and commercial opportunities.
• Provide data-driven input into the commercial assessment gate process, supporting the Procurement Manager and BIPM Executive with financial modelling and scenario analysis.
• Evaluate the financial viability of all current and proposed commercial initiatives and products — including airtime, data, bill payments, prepaid electricity, and vouchers — against GP% targets, WACC thresholds, and margin contribution benchmarks.
• Develop standardised reporting packs for weekly, monthly, and quarterly business reviews.
• Develop standardised profit and loss reports per customer, supplier, content category, etc. to drive commercial decision-making.
• Partner with the Senior Manager: Content Procurement to provide supplier performance analytics and stock utilisation and pricing insights on a regular basis.
• Maintain data integrity across all BI systems and ensure alignment with finance and operational reporting.
• Lead and develop a team of two Data / Financial Analysts.
• Champion data governance standards and work with technology teams to improve data pipelines and system integrations.
• Produce ad hoc analysis as required by the Head of Commercial Intelligence, the Pricing Manager, or senior leadership.
• Stay abreast of market trends across MNOs, aggregators, electricity distributors, and voucher providers.

MINIMUM REQUIREMENTS

• Bachelor's degree in Data Science, Information Systems, Statistics, Finance, or a related field.
• Minimum 5 years' experience in a business intelligence, data analytics, or financial reporting role.
• Proficiency in BI tools such as Power BI, Tableau, or similar platforms.
• Strong SQL skills and experience working with large transactional datasets.
• Strong experience with financial modelling, margin analysis, and cost-of-capital concepts.
• Experience in fintech, payments, telecoms, or prepaid content environments is advantageous.
• Advanced proficiency in Microsoft Excel and other Microsoft tools.
• Demonstrated ability to translate complex financial data into clear commercial recommendations.
• Demonstrated ability to present complex data insights clearly to non-technical stakeholders.

CORE COMPETENCIES

• Data visualisation and BI platform management
• Statistical and financial analysis, including financial modelling
• Data governance and quality management
• Storytelling through data for executive audiences
• Team leadership and analyst coaching
• Cross-functional collaboration with procurement, pricing, and finance teams
• Commercial gatekeeping and decision-making under ambiguity
• Attention to detail and analytical rigour
• Stakeholder influence and communication at senior level
• Market intelligence and competitive benchmarking