Manager - Geo-Marketing Analytics at MTN Nigeria

MTN Nigeria is part of the MTN Group, Africa\'s leading cellular telecommunications company. On May 16, 2001, MTN became the first GSM network to make a call following the globally lauded Nigerian GSM auction conducted by the Nigerian Communications Commission earlier in the year. Thereafter the company launched full commercial operations beginning with Lagos, Abuja and Port Harcourt. MTN paid $285m for one of four GSM licenses in Nigeria in January 2001. To date, in excess of US$1.8 billion has been invested building mobile telecommunications infrastructure in Nigeria. Since launch in August 2001, MTN has steadily deployed its services across Nigeria. It now provides services in 223 cities and towns, more than 10,000 villages and communities and a growing number of highways across the country, spanning the 36 states of the Nigeria and the Federal Capital Territory, Abuja. Many of these villages and communities are being connected to the world of telecommunications for the first time ever. The company\'s digital microwave transmission backbone, the 3,400 Kilometre Y\'elloBahn was commissioned by President Olusegun Obasanjo in January 2003 and is reputed to be the most extensive digital microwave transmission infrastructure in all of Africa. The Y\'elloBahn has significantly helped to enhance call quality on MTN network.

Reports To: Senior Manager - Geo Marketing Visualization and Research

Division: Marketing 

Mission:

• To manage end-to-end Engine Room Program in assigned region including generation of key reports, analysis, interpretation and distillation of intelligent information, as well as design and monitoring of targeted commercial interventions, towards ensuring the business revenue and market share targets are met and exceeded. 

Description:

• Own the geo-marketing analytics roadmap:
• •  BI architecture
  •  Automation
  •  Advanced analytics use cases
• Define standards for:
• •  Regional dashboards
  •  KPI definitions
  •  Data governance
• Drive predictive and prescriptive analytics adoption:
• •  Demand forecasting
  •  Acquisition opportunity & saturation modeling
  •  Network/Device technology adoption curve projection
• Ensure one version of truth across Commercial, Network & Sales.
• Sponsor advanced tools (AI, spatial modeling, external data fusion).
• Define geo-segmentation strategy:
• •  Urban / semi-urban / rural
  •  Income & demand proxies
  •  Behavioral clusters
  •  Device/Technology adoption
• Lead white-space identification for:
• •  Network expansion
  •  Technology Upgrade
  •  Device penetration
  •  Rural expansion
• Embed geo-marketing into:
• •  Go-to-market planning
  •  Localized pricing & offers
  •  Channel strategy
• Integrate external intelligence (demographics, mobility, competition, technology).
• Utilize Regional Analytics (Engine rooms) to develop and propose recommendations on solutions to drive revenue generation in consultation with other key stakeholders. 
• Translate complex analytics into clear strategic narratives.
• Influence decisions across silos without formal authority

Education:

• A first degree in Computer Science, Information Systems Management, Statistics, Mathematics, Data Science, Analytics, Business, or any related discipline, complemented by relevant professional experience and appropriate on?the?job training.
• Master of Business Administration highly desirable. 
• Fluency in English.

Experience:

6–13 years’ experience that includes:

• Minimum of 3 years’ experience in an area of specialization, with experience in supervising or managing others.
• Experience working in a medium- to large organization.
• Minimum of 2-3 years in information systems and/or analytics, preferably in business intelligence or data analytics (building and managing enterprise-wide reports and dashboards).
• Relevant experience as a project manager and/or a business process analyst
• Proven experience with big data platforms, analytics, product selection, and proof-of-concept evaluation
• Expert-level in SQL and data warehousing
• Product and marketing management experience is highly desirable.
• Strong knowledge of business intelligence and analytics products, best practices, and implementation approaches is required.
• Digital channel performance (apps, USSD, web)

Method of Application