Etisalat Nigeria has seen unprecedented growth in the Nigerian telecoms industry with 18 million subscribers and consistently demonstrates its core values of – teamwork, integrity, passion for excellence, empowering our people and growing our people to Nigerians as it offers them world-class telecommunications services.
Job Summary:
Responsible for analysis, profiling, and modelling activity in the areas of propensity and segmentation to increase understanding of the customer behaviour pattern and providing actionable insights in developing strategies that will increase the customer lifetime value on the network.
Roles and Responsibilities:
Analyze micro profiles of all market segments, design models using customer profile attributes, and develop multiple scenarios to illustrate behavior patterns in creating targeting and positioning campaign strategies
Develop sensitivity and business models that support direct to consumer marketing programs and maximize execution efficiencies
Conducts analyses with a focus on experimental design, assessment, execution, measurement of current programs, evaluation of proposed programs, behavioral analysis, data mining, customer segmentation, predictive modeling, performance management, and other relevant statistical analyses
Analysis and data interpretation in support of direct marketing strategy development, program implementation and evaluation/back-end analysis
Summarizing analytic findings and integrating with non-traditional data sources (research findings, media surveys, customer behaviors, etc.), 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
Skills and Experience
A first degree in a relevant discipline
Industry Certification(s) and or Postgraduate/Professional qualification(s) in a related field (an added advantage)
Expert knowledge of competitive environment, consumer trends and trade practices in the industry
Advanced data mining and analytical skills such as SAS and SQL
Excellent understanding of customer data analysis, propensity modelling and segmentation techniques
Excellent understanding of data manipulation and interrogation techniques, such as data mining and statistical techniques such as linear and logistical regression, CHAID and clustering
Three (3) to Five(5) years relevant work experience
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