The Ugandan Jobline

• Drive development of predictive &
  Propensity models (e.g. Churn Prediction model, Next Best Action model,
  Market Basket analysis) to leverage existing information assets for
  optimal Marketing activity.
• Lead the implementation of the CVM roadmap
  and process
• Implement the campaign marketing
  functional paradigm (campaign planning, campaign design, testing,
  execution, offer management, promotion history, contact management,
  response tracking and reporting)
• Tasked with designing and developing
  analytical models and their optimization
• Build business cases for new developments
  and promotional CVM campaign portfolios
• Drive analytics to come up with new ideas
  for promotions and campaigns to change the current behaviour by ensuring
  usage uplift and upgrading packages.
• Track CVM activities performance &
  execution on daily basis (uptake, Revenues) against roadmap
• Find innovative and new ways of offers and
  execution and proactively develop initiatives to close any gaps against
  plan
• Maintain an update framework and campaign
  calendar reflecting the phasing of prioritized campaigns throughout the
  year, and which serves as a roadmap for detailed activity planning per
  customer life cycle stage
• Develop and maintain a dashboard linking
  customer lifecycle stage, related campaigns performance to overall
  revenues and subscribers
• Responsible for preparing and getting
  approval of the CVM campaigns documents (concept documentation sign off,
  campaign brief, UAT document etc) prior to launch
• Work closely with functional teams and
  technology vendors to check the completeness of the weekly roadmap
• Actively contribute to the monthly
  reporting process and output destined for senior and executive management
• Work closely with the BI and IT team to
  develop effective reporting capabilities and processes for customer value
  campaigns
• Interpret the customer base marketing
  strategy to identify, plan and implement/build the analytical capabilities
  required to deliver the CVM base management strategy.
• Drive the ROI of base management activity
  through ensuring the provision and continuous improvement of actionable
  insights, analyses, CVM reports and dashboards and propensity models.
• Lead the definition, build and management
  of customer base management business rules for outbound and inbound
  customer contact activity based on the customer contact strategy.
• Accountable for control group approach and
  adherences to defined contact strategy and ensure that CVM output can be
  measured and to reported upon.
• Manage delivery of insight for the
  customer base to the rest of the business, including actionable value- and
  needs-based segmentation and predictive models, linked with competitor
  intelligence and market research.

• The ideal candidate for the MTN Customer
  Value Management Analyst job placement should hold a Bachelor’s degree
  preferably in marketing, Economics, Information Technology , Statistics,
  Business computing or Commerce
• A minimum of two years’ experience in business analysis and financial modeling in the marketing environment.
• Proficient with statistical applications
  such as SPSS, EPINFO
• Proficient with MS Office application
  especially Excel and Power Point
• Prior commercial experience and
  understanding (Ability to deliver commercial value)
• Previous experience in market basket
  Analysis, Value management or customer retention and loyalty
• Extensive knowledge of Pricing
  methodology, pricing sensitivity, marginal analysis & cost analysis
• Knowledge of Consumer behavior and
  segmentation
• Prior experience in marketing analytics
  for telecommunications or banking industry is desirable
• Telecommunication experience is an added
  advantage
• Strong financial management experience
• Computer literacy i.e. highly proficient
  in all MS Office applications: Word, Excel, PowerPoint and database
  experience

• Customer Value Management,
• Campaign Management & Go to
  Market(GTM)
• Project management,
• Customer Analytics and CRM,
• SAS/R advanced analytics
• Process and Financial modeling
• Business analysis and intelligence
• Statistical analysis
• Application development and management

• Expertise in customer data, information
  systems, data warehouses, data marts, business intelligence software and
  systems
• CVM methodology, principles, capabilities,
  and techniques.
• Business Analysis and Data Management
• Statistical modeling and multivariate
  analysis
• Segmentation techniques
• Scoring techniques
• Data Quality analysis
• Algorithm Knowledge
• Data mining and predictive analytics
• Reporting and performance analysis
• Knowledge of local markets, including
  market trends
• Business Performance Measurement &
  Management

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