Senior Data Analyst (Offer & Campaign Management) at Boardroom Appointments

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)

Experience:

• 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