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Permanent/Full Time

5 - 10 Years

Masters Degree

Other Industry Jobs

Not Specified

EDUCATION / EXPERIENCE • Must have a master’s degree in Statistics, Data Science, Data Mining, or Market Analytics. • Must have a minimum of 3 years’ experience in business planning or data science within the telecom sector. • Experience in at least three of the following areas: Business Planning (mandatory), Market Insight, Data Science, Customer Knowledge, Pricing. • Ability to work with Python and SQL. • Strong knowledge of telecom services including voice, SMS, data, roaming, and IP transit. REQUIREMENTS • Advanced telecom industry knowledge. • Proven experience in training AI models to automate marketing tasks (NLP is an advantage). • Expert knowledge of telecom business dynamics. • Expert analytical and reporting skills across revenue, traffic, and customer KPIs. • Advanced understanding of financial KPIs. • Advanced business case and product development skills. • Advanced statistics management and customer experience analysis. • Expert understanding of customer behavior, dynamics, data integrity, and accuracy. • Strong teamwork and cross-functional collaboration skills. • High adaptability and change management capability. • Ability to work transversally with technical, financial, and marketing teams. • Excellent communication and relationship management skills. • Strong sense of responsibility, customer focus, and involvement.

2026-01-31

Our client, a major French multinational telecommunications corporation, is seeking a highly skilled and results-driven Business Intelligence and Customer Value Management (CVM) Manager to join its team.

 

ROLE PROFILE

The ideal candidate will be responsible for using data and insights to support fast and effective marketing decisions, manage customer value across the lifecycle, and improve business performance through strong planning, analysis, and reporting, with a full understanding of the market and customer dynamics.

 

DUTIES / RESPONSIBILITIES

• Provide forecasting of marketing and commercial KPIs for company budget and planning.


• Provide relevant inputs for sales forecast and network planning.


• Transform marketing strategy into measurable 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 competitive assumptions.


• Support the team in delivering business cases for products, promotions, and value propositions.


• Provide a comprehensive revenue gap analysis.


• Lead the monthly delivery of business reviews.


• Lead the marketing weekly performance analysis and inputs for the war room.


• Define the optimal pricing for all products, promotions, and value propositions.


• Lead the pricing optimization process.


• Ensure company pricing is aligned with company guidance and regulatory principles.


• Build the company pricing strategy.


• Explain pricing trends, taking into account elasticity and substitution.


• Ensure optimal usage of network capacity.


• Evaluate the market in volume and value to identify potential opportunities.


• Coordinate action plans to address gaps identified from NPS studies and brand health research.


• Analyze macroeconomic indicators and provide relevant insights to support the business.


• Lead competitive analysis and monitoring.


• Build an economic intelligence framework for marketing.


• Lead the delivery of the customer lifecycle 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 customer spamming and ensure regulatory compliance.


• Drive organic growth of the customer base and revenue.


• Track and provide marketing performance reports.


• Lead the delivery of the marketing scorecard.


• Implement marketing dashboards to ease decision-making.


• Evaluate all launched promotions.


• Define and ensure reporting before the launch of any offer.


• Design comprehensive dashboards for each marketing department.


• Build multiple levels of segmentation and micro-segmentation to support CVM initiatives.


• Develop predictive scores to proactively manage customer behavior.


• Automate and update algorithms in line with strategic changes.


• Provide deep individual-level analysis to understand revenue trends and dynamics within the customer base.


• Integrate market research segmentations into the company database for monitoring.


• Lead AI integration into marketing value propositions.


• Build and implement relevant data marts to support marketing analysis.


• Develop data marts in line with OMEA strategy for business monitoring and evaluation.


• Evaluate data contribution to revenue.


• Lead CBM contribution to revenue growth.

La Otwe

Greater Accra

Liberia