Senior Analyst – Collections and Servicing Portfolio Analytics

About the role

This is a 100% in-office role (five days per week) in Pompano Beach, Florida. Remote or hybrid work is not available. Candidates must live within a reasonable commuting distance, or be willing to relocate.

Responsibilities

• Identify, design, and implement automation solutions to streamline servicing and collections workflows
• Analyze current servicing processes to identify inefficiencies, bottlenecks, and opportunities for improvement
• Segment customers based on risk, payment behavior, and account characteristics to support targeted servicing strategies
• Analyze loan portfolio performance, including delinquency trends, roll rates, payment behavior, and charge-offs
• Develop recommendations to improve collections effectiveness, operational efficiency, and portfolio performance
• Build and maintain reports, dashboards, visualizations, and analytical models to monitor servicing performance
• Write ad hoc SQL queries and perform data analysis to support requests from executive leadership
• Ensure the accuracy, consistency, and integrity of data across servicing systems and reporting environments
• Assist in the design, implementation, and analysis of A/B tests for new servicing strategies and treatment approaches
• Partner with servicing leadership to gather business requirements and lead analytical or process improvement projects
• Prepare presentations and communicate findings, recommendations, and campaign results to management
• Translate complex analytical findings into clear, actionable business insights for non-technical stakeholders

Requirements

• Bachelor’s degree in Business Analytics, Business Administration, Finance, Engineering, Computer Science, Mathematics, Statistics, or a related field
• 2–7 years of experience in analytics, strategy, business intelligence, process improvement, financial services, or a related field
• Advanced SQL skills required
• Advanced Microsoft Excel skills required
• Strong analytical, problem-solving, and critical thinking abilities
• Ability to interpret data, identify trends, and make practical business recommendations
• Excellent communication skills, including the ability to present complex information clearly and professionally
• Ability to manage multiple projects and work effectively in a fast-paced environment
• Strong attention to detail and commitment to data accuracy

Preferred Qualifications

• Experience with Python, ETL processes, or other data engineering tools
• Data visualization experience using tools such as Power BI, Tableau, or similar platforms
• Financial services, lending, collections, or servicing experience
• Experience supporting strategy, operations, or performance improvement initiatives