Data Analyst, Collections

Job Summary

The Collection Analyst is responsible for developing, monitoring, and optimizing collection strategies to improve portfolio performance and maximize recoveries. This role partners closely with Collections Operations and cross-functional stakeholders to analyze performance, generate actionable insights, and implement data-driven strategies that enhance operational efficiency and customer outcomes.

Key Responsibilities

• Monitor and analyze key Collections performance metrics and KPIs, providing regular reports, insights, and actionable recommendations to management.
• Partner closely with the Collections Operations team to ensure strategic initiatives are effectively translated into operational execution.
• Develop, evaluate, and continuously optimize collection strategies using data analysis, portfolio performance, and business feedback.
• Design, execute, and analyze A/B tests and controlled experiments to identify the most effective collection treatments and recovery strategies.
• Identify trends, risks, and opportunities to improve collection performance, operational efficiency, and customer experience.
• Support the implementation of new collection programs, products, policies, and process enhancements by providing analytical insights and post-implementation performance monitoring.
• Perform portfolio segmentation and behavioral analysis to recommend targeted collection strategies for different customer groups.
• Collaborate with Risk, Product, Operations, and Technology teams to support strategic initiatives and system enhancements.
• Ensure the accuracy, integrity, and timely delivery of reports and analytical outputs.
• Stay informed of industry best practices, emerging analytics techniques, and regulatory developments related to collections.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Finance, Business Analytics, Computer Science, or a related field.
• At least 2 years of experience in Collections Strategy, Collections Analytics, Risk Analytics, Credit Risk, or a related analytical role.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable business insights.
• Proficiency in one or more analytical tools such as SQL, Python, SAS, or R.
• Experience working with collection management systems, dialers, decision engines, or customer segmentation tools is an advantage.
• Knowledge of A/B testing methodologies, statistical analysis, and performance measurement.
• Excellent communication and presentation skills with the ability to influence stakeholders through data-driven recommendations.
• Highly organized with strong attention to detail and a high level of accountability.
• Ability to manage multiple priorities and perform effectively in a fast-paced, dynamic environment.
• Collaborative team player with a proactive mindset and continuous improvement orientation.