Analyst – CVM Analytics at MTN Nigeria

MTN Nigeria – The leader in telecommunications in Nigeria, and a part of a diverse community in Africa and the Middle East, our brand is instantly recognisable. It is through our compelling brand that we are able to attract the right talents who we carefully nurture by continuously improving our employment offerings even beyond reward and recognition.

We are recruiting to fill the position below:

Job Title: Analyst – CVM Analytics

Job Identification: 7430
Location: Ikoyi, Lagos
Job Category: MTN Level 2
Reports To: Manager – CVM Analytics
Division: Marketing

Mission

• Responsible for analyzing data, as well as contributes to the design, implementation, and delivery of analytics product and services
• Responsible to perform data mining on large dataset (structured and unstructured), interpret and generate insights from existing analytical models for value creation and customer retention.
• Under supervision, responsible to ascertain and execute plans to build, implement and maintain predictive models using available tools and programming languages. Monitor and provide feedback on model performance and recalibrate models as necessary

Description

• Collect, analyze, interpret, and summarize data in preparation for generation of statistical and analytical reports and provide intelligence that supports decision-making.
• Coordinate data requests with respect to pre and post return on investment data extraction, data sample for analytics, and other ad-hoc requirements.
• Support CVM commercial team to identify opportunity base for campaign creation.
• Utilize specified statistical software to analyze and interpret research data, as appropriate to the individual position.
• Understand customer demographics, usage and behavior to drive decision making on retention and value creation.
• Provide support to campaign segmentation analyst as required.
• Contribute and participate in campaign idea generation meetings and cross functional Customer Lifecycle Management meeting as required
• Extract, analyse and interpret data and advanced analytical models  to generate insight to aid marketing strategy and product development and implementation
• Works with campaign management team to understand customer needs and develop proactive and innovative data driven solutions and campaigns.
• Analyse micro-profiles of all market segments, design models using customer profile attributes, and develop multiple scenarios to illustrate behaviour patterns in creating, targeting and positioning campaign strategies.
• Conduct analyses with focus on experimental design, assessment, execution, and measurement of current marketing programmes
• Evaluate proposed marketing programmes and conduct behavioural, data mining, customer segmentation, predictive modelling, performance management, and other relevant statistical analyses related to proposed and current marketing programmes
• Work with the campaign management team to build and maintain a regular cadence of inbound and outbound campaigns collaborating with internal marketing and external agencies where needed.
• Summarize analytic findings and integrate with non-traditional data sources when appropriate, to enhance campaign development initiatives.
• Develop and use all relevant metrics and measures to continually monitor inactivity and revenue generating base and take appropriate actions to ensure consistent usage and reduce inactivity.
• Conduct analysis and present findings leading to improved customer identification, attraction and retention techniques and methodologies

Requirements
Education:

• First Degree in Mathematics, Computer Science, Engineering or other related marketing or Social Science discipline
• Fluent in English

Experience:
3-7 years’ experience which includes

• Experience working in a medium organization.
• Solid understanding of predictive analysis: predictive modelling, machine learning and data mining.
• Proficient in using two programming languages out of R, python, SAS and SQL.
• Good understanding of customer data analysis, propensity modelling and segmentation techniques; excellent understanding of data manipulation and interrogation techniques.
• Good knowledge of statistical modeling techniques and algorithms.

Application Deadline 
22nd June, 2026; 10:55 PM.

METHOD OF APPLICATION 
Interested and qualified candidates should use link below to Apply.

Click here to apply online