Job Description
Timely Provision Of A Core Set Of Reports That Measure And Track Base Management Activity, Deep-Dive Analysis And The Development & Enhancement Of Segmentation And Predictive Models, Specifically Churn And Product Propensity Models.
• Contribution To Prepaid Service Revenue - Reflected In CVM And Overall Company Targets
• Projects Delivered Within Set Budgets
• External Vendor/Partner Management
• Cross-Functional Stakeholder Management - Support From Other Functions (Specifically But Not Limited To Products Development Marketing, Brand & Communications, Finance And Technology, Business Intelligence, Consumer Marketing, Revenue Assurance, Regulatory Team E.T.C.
• Network And Build Solid Relationships With Internal Units And Relevant Third Parties (E.G. Strategic Investors, Technical And Finance Partners, Business Consultants Etc.) And Develop A Close Working Relationship With Relevant Information Sources To Provide An Integrated Service.
• Work Closely With Network Group, Sales Team And Marketing To Implement The Network Coverage Plan And Regional Initiatives.
• Develop Relationships And Source Reliable Contacts For Gathering Information Across Other Competitor Companies And Build And Maintain Knowledge Base Of Competitor Activities And A Competitor Intelligence Unit.
• Utilize Location-Based Analytics To Develop And Propose Recommendations On Solutions To Drive Revenue Generation In Consultation With Other Key Stakeholders.
• Manage The Dashboard Tool, Field Surveys, Initiative Tracker Tool And Create New Tools As Required.
• Provide Detailed Granular Insights (Network, Customer Behavior, Channel, Competition Etc.) On Regional, Territory & Cluster Performance; Identifying Growth Opportunities, Root Causes, Risks And Tactical Initiatives To Improve Performance.
• Coordinate The Regional Engine Room Activities Including Insight Generation And Performance Management
• Drive Micro Market Stimulation & Address Location-Based Competitor Offers By Working With The CVM, Sales, Network & Segment Teams To Drive Geographic BTL Offers For Optimal Incremental Revenue, Improved Network QoS, On-Ground Activities And One-On-One Customer Engagement Initiatives To Drive Regional Performance
• Ensure Very Deep Market Understanding: Regular Macro-Economic Review Of Trends And Shifts That Can Affect Regional Business And Overall Market Demand
• Follow Up On Progress On Initiatives, Coordinate Collaboration Across The Organization (E.G. Network Group, Information Systems, Sales & Distribution) To Ensure Impact On Business Results
O Regular Consultation And Follow Up With Engine Room Program Leaders & The Regional Teams Ensuring Execution Of Agreed Actions And Initiatives.
O Proactive Identification, Mitigation And Escalation Where Required Of Challenges Facing The Engine Room Program Implementation.
O Follow Up With The Regional Engine Room Program Head To Ensure The Engine Room Program Meetings Are Scheduled And Held.
• Drive The Implementation Of The SMART Network Coverage Plan To Optimize Revenue, Market Share And Return On Capex Investment.
• Identify Coverage Risks And Opportunities (I.E. In Terms Of Churn And Acquisition Potential) And Define Strategic Targets For Network Coverage Optimization Around Costs, Coverage Quality Needs, Market Opportunities And Customer.
• Manage Geo Coding And Cluster Delineation Setting Robust Criteria For Cluster Prioritization.
• Secure Successful Implementation Of Key Transversal Location/Geo Based Projects And Initiatives Across MTNN.
• Interpret The Customer Base Marketing Strategy To Identify, Plan And Implement/Build The Analytical Capabilities Required To Deliver The CVM Base Management Strategy.
• Ensure Timely Base Management Reporting
• Drive The ROI Of Base Management Activity Through Ensuring The Provision And Continuous Improvement Of Actionable Insights, Analyses, CVM Reports And Dashboards.
• Manage Delivery Of Insight For The Customer Base To The Rest Of The Business, Including Actionable Value- And Needs-Based Segmentation And Predictive Models, Linked With Competitor Intelligence, And Market Research.
• Analyse Commercial Impact Of BTL Programs On Product Penetration, ARPU And Volume/ Value Churn. Operational Analysis Of Base To Identify Opportunities To Apply Products And Tariffs To Maximize Lifetime Value.
• Ensure That The Base Analytics Team Has The Appropriate Level Of Customer Data (Quality, Breadth And Regency), Along With The Required Application Toolset, To Perform Their Base Analytics Responsibilities.
• Identify Training And Development Needs And Manage Skills Enhancement Programmes For The Virtual Sales Team To Ensure Enterprise Sales Targets Are Fully Met.
• Coach And Train The Team To Ensure Understanding Of The Objectives And Goals Of The Department, Awareness Of Set Targets/Requirements And Regularly Review Their Training Needs.
• Review Performance Of Individual Team Members And Complete Appraisals In Accordance With The Employee Performance Appraisal Procedures And Time Schedules.
Job Condition
Normal MTNN Working Conditions
May Be Required To Work Extended Hours
Experience & Training
Education:
• University Degree Or Equivalent Qualification, Preferably With Analytical Focus, Marketing Or Commercial Subjects
• Industry Certification(S) And/Or Post-Graduate/Professional Qualification(S) In A Related Field (An Added Advantage)
Experience:
6 – 13 Years Of Experience Comprising:
• 4 Years’ Experience In The Telecoms Industry With At Least 2 Years In Supervisory Role
• Track Record Of Leading & Implementing Transformational & Impactful Enterprise Projects
• Strong Leadership Abilities, Business Acumen And Stakeholder Management
• Demonstrated Leadership Of An Established And Successful CVM Function Within MTN Or Another Operator Recognised As A Leader In CVM
• Experience In CVM Methodology, Principles, Capabilities, And Techniques.
• Demonstrated Ability To Influence Management Level Staff In Group And 1:1 Situations
• Disciplined Detail-Oriented Style, Combined With Ability To Simultaneously Work At A Strategic Level
• Experience In Data Mining Analysis Tools Such As {R. Knime, SAS And MS Excel)
• Experience In Using Business Intelligence Tools For Data Insights Generation Such As (Power Bla MS Power Point, MS Excel)
• At Least 3 Years' Experience In CVM Practices And Campaign Management
• Experienced Using Predictive Modeling Techniques And Methods Such As (Decision Trees, Random Forest, KNNg Regression And Machine Learning
• Experience With Research- And Analytics-Driven Quantitative Pricing Techniques (E.G. Choice Modelling)
Minimum Qualification BA, BSc Or HND
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