Strategy and Operations Analyst

Important Work Requirements (Please Read Before Applying)

• 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

At SAFCO, we believe a finance company should exist to help customers build a better tomorrow. For more than 30 years, we have provided responsible auto financing solutions while building a culture grounded in accountability, performance, and continuous improvement.

As we continue to grow, we are investing in stronger analytics, smarter servicing strategies, and better operational processes. The Strategy and Operations Analyst will play an important role in helping our executive leadership team make informed decisions, improve collections effectiveness, and identify opportunities to make the business stronger. This is an ideal opportunity for a smart, technically skilled, and driven analyst who enjoys solving business problems with data.

This is a highly visible role that partners closely with executive leadership and servicing management to improve performance across the servicing and collections organization.

You will:

• 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

In this role, you will work with large operational datasets and help transform information into action. Examples of the types of work you may perform include:

• Developing reports and dashboards to monitor collector productivity, delinquency trends, and campaign performance
• Evaluating the effectiveness of servicing strategies and recommending adjustments based on results
• Supporting process improvement and automation initiatives to reduce manual work and improve efficiency
• Creating customer segments and predictive analyses to improve outreach and treatment strategies
• Using advanced SQL and other tools to combine, clean, and analyze data from multiple systems
• Supporting executive presentations with data-driven insights and recommendations

• Bachelor’s degree in Business Analytics, Business Administration, Finance, Engineering, Computer Science, Mathematics, Statistics, or a related field
• 0–5 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

• Experience with Python, ETL processes, or other data engineering tools
• Exp…