Collections Strategy Analyst- Engage Grade 7

Evolution Group

Kansas

Hybrid

USD 70,000 - 90,000

Full time

14 days+

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Job summary

Evolution Group is looking for a professional in the United States, Kansas, to support data analysis and strategy execution within financial collections. The successful candidate will analyze portfolio data using SQL and Excel, monitor performance metrics, and collaborate with various stakeholders to improve operational effectiveness.

The role involves improving strategy execution and reporting efficiency through data-driven insights. Strong experience in data manipulation and insights generation is essential.

Qualifications

  • Strong experience in data manipulation and analysis.
  • Ability to derive insights from complex data sets.
  • Proven track record in executing data-driven strategies.

Responsibilities

  • Extract, manipulate, and analyze portfolio data.
  • Support implementation of collection strategies.
  • Monitor collections performance metrics.

Skills

Data Analysis
SQL
Excel
A/B Testing

Job description

1 Financial Accountability

Support the maximisation of after‑cost collections on the ADP portfolio through data‑driven insights, testing, and strategy execution.

2 Operational Accountability

Support the development, execution, monitoring and continuous improvement of collection strategies, with a strong focus on hands‑on data analysis and implementation.

3 Areas of Responsibility
3.1 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.
3.2 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.
3.3 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.
3.4 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.
3.5 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.
3.6 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.
3.7 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.
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