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

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).

Method of Application
Interested and qualified candidates should:
Click here to apply online