Etisalat's vision is a world where people's reach is not limited by matter or distance; a world where people will effortlessly stay in touch with family and friends; a world where businesses of all sizes can reach new markets without the limitations of distance and travel.
Etisalat Nigeria is recruiting to fill the below position:
Job Title: Specialist - Data Mining and Modelling
Location: Lagos
Job Summary
- 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 projects:
- Undertakes 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 lists
- Assist in designing, developing and executing data driven modelling and data-mining to meet the needs of the Customer Value Management (CVM) unit
- Assist in in development of models and tests data models - for example customer segmentations, propensity and predictive models, churn models
- Demonstrates 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 Identification:
- Looks for opportunities from data to design and develop new revenue generating offers
- Participate 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 campaigns
- Contribute 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 business
- Participate 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 development
- Work cohesively with the Marketing Segment managers to develop, execute, review and optimize demand generation and customer programs aligned with marketing strategy
- 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
- Optimize, localize and develop nurture campaigns for marketing team
- Assist in the selection, localization and deployment of micro segmented demand generation campaigns
- Analyze and report on the effectiveness and ROI of all marketing campaigns including drilling down to channel, offer, messaging and creative components.
Educational Requirements
- 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 company
- Team-player who possesses good people skills and can work closely and collaboratively between marketing, product teams, strategic partners.
- Candidate should have proven track record of successfully managing big data set and campaign management knowledge.
- Sound understanding of customer segmentation principles & objectives
- Proficiency in Microsoft Office, sound knowledge of power point and advanced level excel experience
- Proficient in the use of reporting / ad-hoc analysis tools. Experience with SAS, excel, SQL and other data mining tools will be highly regarded.
- Advanced analytical skills, Predictive model experience with decision trees, regression models and classification rules.
Application Closing Date
Not Stated.
Method of Application
Interested and qualified candidates should:
Click here to apply online