Analyst - CVM Analytics.Marketing at MTN Nigeria

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 

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.