Analyst - Pricing and Revenue (Digital Services) at MTN Nigeria

MTN Nigeria - The leader in telecommunications in Nigeria, and a part of a diverse community in Africa and the Middle East, our brand is instantly recognisable. It is through our compelling brand that we are able to attract the right talents who we carefully nurture by continuously improving our employment offerings even beyond reward and recognition.

We are recruiting to fill the position below:

Job Title: Analyst - Pricing and Revenue (Digital Services)

Job Identification: 1663
Location: Ikoyi, Lagos
Job Category: MTN Level 2
Job Schedule: Full time
Reports To: Manager Planning & Reporting
Division: Digital Services

Job Description

• Adhere to, review, and update consistent, efficient, relevant, and standard policies, processes, and procedures for managing Digital Services' business performance
• Collaborate with cross-functional teams to identify digital product/service pricing and revenue share requirements
• Ensure pricing and revenue share presentations and reports adhere to all MTNN and regulatory policies relating to digital products and services
• Identify and fulfil the expectations, needs, and priorities of key internal stakeholders, e.g., CEX, CR, CS, EB, Finance, Foundation, HR, IT, Marketing, Networks, Risk & Compliance, and S&D from a pricing and revenue share perspective
• Implement an intra-divisional Internal Stakeholder Engagement Strategy which includes but is not limited to the rationale for regular engagements (cross-functional meetings, sessions, and workshops), engagement format, communication plan, implementation plan, monitoring and review plan, performance metrics
• Monitor the documentation, development, testing, and launch of business performance and management systems according to the relevant Policies, Procedures, & Processes Document to exceed targets as specified in the business plan
• Provide accurate, current, data-driven, relevant and understandable analysis, FAQs, information, and reports – including but not limited to competitive intelligence, impacting trends, and weekly performance reports – as may be required to guide management decisions and support the business planning process
• Use statistical software to collect, analyze, interpret, and summarize complex statistical data, information, and research to provide business intelligence that will support digital product/service performance and decision-making
• Use storytelling and visualization tools to prepare and communicate – effectively and efficiently – complex statistical data, information and research to support digital product/service performance and decision-making
• Develop financial models – using business cases, business rules relating to the product, pricing analysis, and revenue share breakdown – to determine the projected financial performance of the product
• Conduct pricing and profitability assessments to support business cases/plans and digital product/service performance
• Provide pricing and revenue share analysis presentations and reports that exceed identified/evolving customer expectations, needs, and priorities 
• Collaborate with cross-functional units to ensure that the correct pricing and revenue shares are defined across all applicable systems
• Benchmark competition and international operators' pricing and revenue share regimes to support digital product/service performance and decision-making
• Monitor and improve NPS related to pricing and revenue share

Education

• A First Degree in Accountancy, Economics or any related discipline
• Fluent in English.

Experience:

• 3 - 7 years’ experience including:
  • A minimum of three (3) years in a small- or medium-sized organization
  • Experience in business case/plan development, data analysis/mining, forecasting, primary or secondary research, and telco-based product development 
  • Excellent communication, interpersonal, and writing skills; Advanced ability to build strong working relationships across the organization, influence stakeholders, and work as part of a cross-functional team
  • Experience in Information Technology, OTT, or telecommunications and a broad understanding of Artificial Intelligence, Big Data, Customer Lifecycle Management, and Machine Learning will be an advantage
  • Ability to analyze and identify critical business/customer/product metrics, analyze/mine data using Statistical Analytical System (SAS), communicate and visualize complex data/information, and think critically will also be an advantage
  • Proficiency in Microsoft Office (Excel, PowerPoint, and Word).

Application Closing Date
31st October, 2022 (11:59 PM).