Data Mining and modeling specialist job, Etisalat Nigeria

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Data Mining and modeling specialist job, Etisalat Nigeria
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The Job : Data Mining Specialist, Etisalat Nigeria.

Job Status: Full Time Job,

Remuneration: Attractive,

Location: Lagos, Nigeria

Emerging Markets Telecommunication Services (EMTS), trading as Etisalat, is a Nigerian company duly incorporated under the laws of Nigeria in partnership with Mubadala Development Company and Etisalat of the United Arab Emirates. Incorporated in Nigeria as a private company, it acquired the Unified Access License from the Federal Government in January 2007. The license includes a mobile license and spectrum in the GSM 1800 and 900 MHz bands. Etisalat acquired a 40% stake in EMTS and is now the operator of the Unified Access License.
Job Status: Full Time Job,
Remuneration: Attractive,
Location: Lagos, Nigeria
Provide customized analytics to unique and unstructured problems through advanced analytics and carry out behavioural analysis, predictive analysis, advanced segmentation and algorithms to aid campaign decisions and offer development.Principal Functions
Advanced Analytics, Data-Mining and Data Modelling projectsUndertakes advanced analytics/data-mining and statistical projects ? for example identification of cross and up-sell opportunities, customer profiling and using multiple data sources to build scored targeting listsAssist in designing, developing and executing data driven modelling and data-mining to meet the needs of the Customer Value Management (CVM) unitAssist in in development of models and tests data models – for example customer segmentations, propensity and predictive models, churn modelsDemonstrates a structured and pragmatic approach to analysis and project delivery ? including developing an upfront project plan, agreeing deliverables, undertaking analysis and working with Manager, Analytics & Consumer insight to interpret and validate the results. Works with the Data Warehouse and Information Analysis teams to prepare these models and integrate them into standard data tools. Ensures integrity in the production process and data accuracy. Offers Development and Opportunity IdentificationLooks for opportunities from data to design and develop new revenue generating offersParticipate in the development of models and associated analysis to maximise one to one interactions with customers and improve repeatability of behaviour.Work with campaign management team to understand customer needs and develop proactive and innovative data driven solutions and campaignsContribute to the development of creative and pragmatic approaches to new or complex issues in order to identify opportunities to up-sell and cross-sell offers across the businessParticipate in the development and implementation of data mining solutions to fit business problem, which may include applying algorithms from a standard tool or custom algorithm developmentWork cohesively with the Marketing Segment managers to develop, execute, review and optimize demand generation and customer programs aligned with marketing strategyWork 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 neededOptimize, localize and develop nurture campaigns for marketing team Assist in the selection, localization and deployment of micro segmented demand generation campaignsAnalyze and report on the effectiveness and ROI of all marketing campaigns including drilling down to channel, offer, messaging and creative components
First degree in a relevant discipline from a recognized university
Experience,Skills & Competencies
Three (3) to Five (5) years work experience.Experience in developing complex models in a leading retail/telecom companyTeam-player who possesses good people skills and can work closely and collaboratively between marketing, product teams, strategic partnersCandidate should have proven track record of successfully managing big data set and campaign management knowledge.Sound understanding of customer segmentation principles & objectives

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