Collections Strategy Analyst- Engage Grade 7 at Evolution Group (Pty) Ltd

Areas of responsibility

Data Analysis and Insights:

• Extract, manipulate, and analyse portfolio and collections data (SQL, Excel)
• Identify trends, patterns, and performance gaps across segments, channels, and campaigns
• Translate data into clear insights and actionable recommendations
• Perform deep-dive analysis on underperforming areas to identify root causes

Strategy Execution and Testing:

• Support the implementation of collection strategies across operational channels (Call Centre, Digital, EDC, etc.)
• Assist in designing and executing A/B tests to evaluate strategy effectiveness
• Track, measure and report on test outcomes and recommend next steps
• Drive execution of approved strategy changes and enhancements

Performance Monitoring:

• Monitor key collections performance metrics (e.g. RPC, PTP, conversion, yield)
• Track strategy and campaign performance against expectations
• Highlight risks, opportunities and areas requiring intervention
• Provide ongoing feedback to improve operational effectiveness

Reporting:

• Develop and maintain regular reporting (daily / weekly / monthly)
• Build dashboards and performance views to support decision-making
• Present findings in a clear and structured manner to stakeholders

Process and Continuous Improvement:

• Identify opportunities to improve strategy execution, data flows and reporting efficiency
• Support optimisation of operational processes through data-driven insights
• Contribute to building scalable and repeatable analytical approaches

Collaboration:

• Work closely with the Data Scientist, Collections Operations, Call Centre, Digital and other stakeholders
• Support alignment between analytical insights and operational execution
• Engage with stakeholders to understand business needs and translate into analytical outputs

Customer and Portfolio Insights:

• Analyse customer behaviour and payment patterns to inform targeting and treatment strategies
• Support segmentation and prioritisation of accounts based on risk and value

Requirements

• Bachelor’s degree in Finance, Economics, Business Administration, Statistics, or a related field.
• 2–5 years’ experience in data analysis, collections, or financial services