Analyst - Analysis Insights and Research Internal, Digital Services NG at MTN Nigeria

Job Identification: 1642
Location: Ikoyi, Lagos
Job Category: MTN Level 2
Job Schedule: Full time
Division: Digital Services
Reports To: Manager, Analytics, Insights, & Research

Job Responsibilities

• 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 analysis, insights, and research requirements
• Ensure analysis, insights, and research 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 an analysis, insights, and research 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
• Conduct pricing and profitability assessments to support business cases/plans and digital product/service performance 
• Monitor digital product/service performance to confirm the validity of the associated business case/plan
• Using business data, identify new opportunities such as features, growth areas, markets, and trends
• Provide analysis, insights, and research presentations and reports that exceed identified/evolving customer expectations, needs, and priorities 
• Collaborate with product analysts, managers, and owners to identify their data analytics, insights, and research requirements 
• Work with various business functions to provide front-end and ongoing data, information, and research to support digital product/service performance and decision-making
• Coordinate and fulfil demands for pre- and post-Return-on-Investment analysis, data samples for analytics, and other ad-hoc requests
• Solicit feedback from customers to continuously improve analysis, insights, and research presentations and reports
• Monitor and expeditiously resolve complaints related to customer expectations, needs, and priorities
• Monitor and improve NPS related to data analysis, insights, and research
• Stay abreast of and share information about new and existing regulatory policies, digital, industry, marketplace, and platform trends with the team

Educational Qualification

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

Experience:

• 3 - 7 years’ experience including:
• Minimum three (3) years' experience in a small or medium-sized organization
• Experience in business case/plan development, business performance management and reporting, data analysis/mining, primary or secondary research, and forecasting 
• 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 applications (Excel, PowerPoint, and Word)