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Collections Strategy Analyst- Engage Grade 7

Job in Lawrence, Douglas County, Kansas, 66045, USA
Listing for: Evolution Group
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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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