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Specialist.Enterprise Analytics & Insights At Etisalat Nigeria

Date Posted: 02/Jun/2014
Deadline: 12/Jun/2014

Job Summary 


    Responsible for analysing, profiling, and modelling activity in the areas of propensity and segmentation to increase understanding of the business account  patterns and providing actionable insights in developing strategies that will increase the account lifetime value on the network.

Principal Functions 


    Analyze micro profiles of all business segments, design models using account profile attributes, and develop multiple scenarios to illustrate behavior patterns in creating, targeting and positioning cross sell, upsell campaigns and retention strategies.
    Develop sensitivity and business models that support direct enterprise marketing programs and maximize execution efficiencies.
    Conducts analysis with a focus on experimental design, assessment, execution, measurement of current programs, evaluation of proposed programs, behavioral analysis, data mining, account segmentation, predictive modeling, performance management, and other relevant statistical analysis.
    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, account 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 account identification, attraction and retention techniques and methodologies for the enterprise segment.

Educational Requirements 


    A first degree in relevant discipline.
    Industry Certification(s) and or Postgraduate/Professional qualification(s) in a related field (an added advantage)

Experience,Skills & Competencies 

    Expert knowledge of competitive environment, business market trends and trade practices in the industry.
    Advanced data mining and analytical skills such as SAS and/or 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

Method of Application

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