MTN Nigeria

Telecommunications

Manager - Sales Support, Planning and Analytics

Job details

Contract Type

Description
Education:
  • First degree in a numerate discipline
  • Fluent in English
  • Possession of a Master’s degree may be an added advantage.
Experience:
6 - 13 years’ experience which includes:
  • At least five years’ experience in data analytics/insight generation or working as part of a reporting team using a modern reporting platform
  • Experience in engagement with multiple management levels across technical users and business units.
  • Experience in working with SAS, PowerBI, Oracle SQL and Statistical & Predictive Modelling.



Responsibilities
  • Provide analytical commentary, interpret and analyze the impact of activities on revenues and subscriber profiling.
  • Monitor and enforce (from a reporting view) S&D and MTNN’s business requirements compliance to the EDW strategy.
  • Input into sales planning with sound analytics of both transactional and competitive market data and insights.
  • 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 sales channels and subscriber profile.
  • Deliver on key business metrics i.e. Subs profiles, revenue, ARPU, Churn, Product Performance, competitive environment and their relevant metrics.
  • Manage and report on the market share and share of voice, and advice appropriately on the emerging market trend.
  • Perform evaluations and produce reports on trade propositions, promotions and activities within MTNN S&D to give MTN a competitive advantage in the telecoms market.
  • Gather and analyze a variety of subscribers’ information/data relevant to business operations, market and customers
  • Liaise with IS and other departments to ensure S&D and MTNN requirements are met by the EDW.
  • Prepare presentations on S&D performance as may be required.
  • Ensure data visualizations are accessible and easy to understand for non-technical stakeholders

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