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Manager - Customer Analytics at MTN Nigeria

MTN NigeriaLagos, Nigeria Data and Artificial Intelligence
Full Time

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.


  • To ensure the MTN Marketing Report standards are in strict compliance with the MTN organizational standard.
  • To lead the team in data mining, analyzing, and reporting customers' behavior to management so as to understand and meet their needs.
  • To ensure key performance indicators are reported accurately and timely to MTN Group and Regulatory.


  • Provide analytical commentary, interpret, and analyze the impact of activities on revenues and subscriber profiling.
  • Contribute and participate in campaign idea generation meetings and cross-functional Customer Lifecycle Management meeting as required.
  • Provide support for campaign segmentation analysis as required.
  • Coordinate data requests with respect to pre- and post-return on investment data extraction, data samples for analytics, and other ad hoc requirements.
  • Monitor and enforce (from a reporting perspective) Marketing & Strategy and MTNN’s business requirements in compliance with the EDW strategy.
  • Extract qualifying data based on defined campaigns and according to the approved campaign road map, as well as manage and update engine room tools.
  • Identify multiple relationships and disconnects using big data analytics to identify trends in customer dynamics.
  • Ensure that all information and data collected, stored, shared, and reported are in line with MTNN guidelines.
  • Build and maintain up-to-date information on the MTNN subscriber profile.
  • Deliver on key business metrics, i.e., subs profiles, revenue, ARPU, churn, product performance, competitive environment, and their relevant metrics.
  • Define and maintain business meta data for EDW.
  • Manage and report on the market share and provide appropriate advice on the emerging market trend.
  • Perform evaluations and produce reports on promotions, products, and other activities within MTNN marketing (including promotions, products, etc.) to give MTN a competitive advantage in the telecoms market.
  • Communicate detailed, accurate, timely, and easily accessible information to all MTNN subscribers.
  • Gather and analyze a variety of subscribers’ information and data relevant to business operations, market and customers.
  • Liaise with IS and other departments to ensure Marketing and MTNN requirements are met by the EDW.
  • Coach and train the team to ensure understanding of the objectives and goals of the department, awareness of set targets and requirements, and regular review of their training needs.


  • A first degree in Computer Science, Information Management, Statistics or a related discipline
  • A Masters degree (MBA or M.Sc.) in any of the afore-mentioned disciplines will be an added advantage.
  • Fluent in English


6–13 years’ experience, which includes:

  • A 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
  • Experience and working knowledge of data mining and analysis using statistical analytical systems (SAS), problem solving, and reporting.

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