Senior Data Analyst

4 months ago

Johannesburg, 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 ad-hoc 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 end-to-end financial models to manage the lifecycle of CVM commercial activities.
- Provide analytics solutions to business to help maximize profit on Offers and Campaigns.
- Develop data-driven 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)

**E**xperience**:

- A minimum of 5 - 8 years of relevant experience guiding commercial operations through rigorous datadriven methods
- Analytical, financial, and business strategy skills
- Experience in end-to-end 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

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