Recrutement à la multinationale MTN

MTN Cameroon is looking for Senior Manager - BI and Analytics.BI and Analytics.

Location: Douala, Littoral, Cameroon


Operational Delivery 

The role is accountable for the following work area outcomes:

Strategy & Analytics, Budgeting, Data and Reporting

  • Implement and execute policies, procedures and guidelines cascaded by the functional lead
  • Comply with the set governance mechanisms, under supervision from the functional lead
  • Cascade the Group Fintech budget, analytics and reporting framework in the sub-function, under direction from the CEO.
  • Evaluate the efficiency and effectiveness of BI strategies and propose and offer suggestions for improvements

Insights & Analytics Operations

  • Gather and prioritize analytics demands from various functions in MMC and project manage delivery against demand
  • Borrow BI & CVM capability from group and localize to provide effective analytics solutions to MMC.
  • Work closely with product, technology and operations teams to drive complex data and trend analysis
  • Develop models and frame business scenarios that are meaningful and impact critical business processes and/or decisions
  • Benchmark and measure the performance of various business operations projects
  • Extract data & build dashboards, combining data from multiple sources to turn raw data into actionable insights
  • Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams
  • Provide support to functional teams for web/platform analytics across reporting, maintenance, and integration of data sources
  • Generate fortnightly, monthly, and quarterly reports to uncover learnings and insights to guide future business improvement processes
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions
  • Deploy tools, systems and methodologies approved by the Group and localize as per requirement
  • Work collaboratively with other specialists in the BI & CVM team for the ETL lifecycle
  • Apply industry knowledge to interpret data and improve functional performance
  • Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements
  • Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
  • Where required, escalate unsolvable issues to Head of Department and Opco CEO in a timeous manner
  • Other tasks and duties, as assigned


  • Degree / diploma in Data, Analytics or related field
  • Post Graduate degree in similar or related field is an advantage


  • A minimum of 5 to 6 years’ total experience in a similar position
  • Experience in Fintech, banking or Telecom is preferred
  • Experience working in a global/multinational enterprise with a good understanding emerging markets is preferred
  • Experience in data analysis and management, business performance management and BI within the Fintech industry
  • Knowledge of modern Big Data platforms and Open-Source solutions to database, data analysis, and data management
  • Experience in developing and deploying CVM campaigns in the Telecom/Financial/Consumer industry
  • Deep knowledge and experience in data reporting/visualization tools (Power BI, Tableau, etc.)
  • Deep knowledge and experience in data analytics tools (SQL, Python, SAS, etc.)
  • Experience working across global locations/ regions and have a grasp of political, social, infrastructure and integrity challenges


Functional Knowledge

  • Big data and analytics
  • Data mining & modelling
  • Data interpretation
  • Data visualization & Reporting
  • Statistical Analysis
  • Quantitative Analytics
  • Forecasting/predictive Analytics,
  • Multivariate testing & optimization algorithm
  • Business intelligence systems and tools
  • Data science toolkits (SAS, R, SPSS)


  • Relationship/people management
  • Analytical thinking
  • Continuous improvement
  • Data interpretation
  • Delivery focused
  • Presentation
  • Relationship building 


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