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Senior Data Analyst

4 months ago

Johannesburg, Gauteng, South Africa Boardroom Appointments Full time

Key Performance Objectives:

  • Perform analysis to uncover potential ARPU uplift opportunities on subscriber cohorts for bespoke targeting and treatment.
  • Work closely with the Customer Engagement team to unlock customer insights to support broader strategic initiatives.
  • Conduct adhoc deeper dives to provide insights on performance and enable decision making.
  • Track and report effectively to senior management on all CVM campaigns and activities
  • Develop and maintain endtoend financial models to manage the lifecycle of CVM commercial activities.
  • Provide analytics solutions to business to help maximize profit on Offers and Campaigns.
  • Develop datadriven business case propositions for campaigns and offers and present to management.
  • Develop and maintain forecasting models to support strategic and operational offer management.
  • Provide innovative ways to support the implementation and effective execution of the customer value and retention strategies
  • Collate all applicable data and information relating to CVM activities, and prepare all pertinent analytics and operational insights
  • Provide continual operational enhancements based on historical performance, forecasts, test cases, POC results etc.
  • Implement practical strategies for continual analytical improvement, to deepen understanding of customer behaviour and improve efficiency of CVM activities

Qualifications Essential:

-
Degree in Quantitative field (Finance, Mathematics, Statistics, Accounting, Computer Science, Engineering, Finance or Similar)

Qualification Preferred:

  • Post Grad Advantageous (preferably in Computer Science, Mathematics, Statistics, Engineering, Finance or Similar)

Experience**:

  • A minimum of 8 years of relevant experience guiding commercial operations through rigorous datadriven methods
  • Analytical, financial, and business strategy skills
  • Experience in endtoend management, forecasting, and financial modelling of CVM commercial activities
  • Able to clearly communicate findings, verbally and visually
  • Able to work with large datasets in Excel, Python, SQL, etc.
  • Experience with continuous measurement and evaluation of all commercial activities with feedback to business strategy

Technical Competencies

  • Data Analysis
  • Subscriber Analytics
  • Financial Modelling
  • Forecasting
  • Business Case Development
  • Excel, SQL, Python, etc.
  • Project Management
  • Cost/Budget Management
  • Customer Expectation Management
  • Business Acumen