Business Intelligence and CVM Manager

BACK TO ALL VACANCIES

Role: Business Intelligence and CVM Manager
Employer: Orange Liberia (OLIB)
Reports to: Chief Marketing and Communications Officer
Application Deadline: 8th January 2026
Location: Monrovia, Liberia (Open to all Nationality- Preference will be given to Liberia Candidates)

 

Application Instructions: Submit CV and Cover Letter to info@afriqia-solutions.com with “Business Intelligence and CVM Manager” in Subject Line.

 

Role Purpose 

The Business Intelligence and customer value management manager is responsible of leading data-based decision making in marketing trough clear business planning process, robust customer base management/knowledge and 360 degrees understanding of the market, customers and dynamics. He/she support fast marketing decision making based on internal and external data transformed into information.

 

Key Responsibilities

  1. Business planning
  • Provide forecasting of marketing/Commercial KPIs for the company budget and planning.
  • Provide relevant input for sales forecast and network planning.
  • Transform Marketing strategy into measurables KPIs.
  • Lead the delivery of the Marketing business plan according to group and cluster framework.
  • Lead the marketing business plan process.
  • Provide relevant assumptions to all marketing departments to build a competitive assumption.
  • Support the team in delivering business cases for products, promotions and value proposition
  • Provide a comprehensive revenue gap analysis. 
  • Lead the monthly delivery of Business review.
  • Lead the Marketing weekly performance analysis and the input for the war room.
  1. Pricing
  • Define the optimal pricing for all products, promotions and value proposition.
  • Lead the pricing optimization process.
  • Ensure company pricing is always aligned with company guidance and regulatory principle.
  • Build the company pricing strategy. 
  • Explain pricing trend taking in account elasticity and substitution.
  • Ensure optimal usage of network capacity.
  1. Market insight
  • Evaluate the market in volume and in value to identify potential opportunities.
  • Coordinate the action plan to address any gap identified from NPS study and brand health research.
  • Analyze macroeconomic indicators and provide relevant insights that can support the business. 
  • Lead the competitive analysis and monitoring.
  • Build and economic intelligence framework for marketing.
  1. Customer Base Management
  • Lead the delivery of the customer life cycle management strategy.
  • Lead the delivery of the customer value management strategy.
  • Develop and implement relevant processes to support CBM initiatives.
  • Lead the implementation of an optimal campaign management process to avoid spamming. customer and respect regulation rules.
  • Drive the organic growth of the base and the revenue.
  1. Performance Monitoring & Reporting
  • Track and provide marketing reports.
  • Lead the delivery of the marketing score card.
  • Implement a marketing dashboard that ease decision making.
  • Evaluate all promotions that have been launched.
  • Define and ensure reporting before the launch of any offer.
  • Design a comprehensive dashboard for each marketing department.
  1. Customer knowledge and prediction
  • Build different levels of segmentation/micro segmentation that will support CBM initiatives.
  • Build and put in place predictive scores that will help to proactively manage customer behavior.
  • Automate and update several algorithms according to changes that may happen in the strategy.
  • Provide deep analysis at the individual level that will help understanding revenue trends and dynamics within the base.
  • Integrate segmentations from market research into company data base for monitoring.
  1. Data Value Management and AI
  • Lead the AI integration into marketing value proposition.
  • Build and put in place relevant data mart that will support marketing analysis.
  • Build data marts in line with OMEA strategy for business monitoring and evaluation.
  • Evaluate the data contribution to revenue.
  • Lead the CBM contribution to revenue.

 

Qualifications & Experience

  • Master’s degree in Statistics, Data Science, Data Mining/ Market Analytics.
  • 3+ years of experience in Business planning or Data science in the telecom sector.
  • Experience in at least 3 of the five spaces (Business planning, Market Insight, Data science, Customer Knowledge, Pricing) with Business planning as mandatory.
  • Ability to work with Python and use SQL.
  • Strong knowledge telecom (voice, SMS, data, roaming, IP transit).
  • Proven experience in training models using AI to automate some basic marketing tasks (NLP a plus).

 

Key Competencies

  • Strong Adaptability and Change Management.
  • Ability to work transversally with technical, financial, and marketing teams.
  • Excellent communication and relationship management skills.
  • Sense of responsibility, Customer relations, Involvement.

 

Professional Competencies

  • Telecom Industry Knowledge.
  • Good knowledge of telecom business dynamics.
  • Strong analytical and reporting skills (revenues, traffic, customer KPIs).
  • Familiar with all financial KPIs.
  • Business case development.
  • Product development.
  • Statistics management.
  • Customer experience analysis.
  • Strong customer knowledge and dynamics understanding.
  • Proven knowledge on data integrity and accuracy.