Mid-Level Data Analyst

Collections AnalyticsData Management

Newark, NJ or Jacksonville, FL Full-Time | On-Site

About National Recovery Associates

National Recovery Associates (NRA) is a nationally recognized accounts receivable management company specializing in consumer collections, legal recovery, judgment enforcement, portfolio management, and recovery analytics.

We use data to drive collection strategy, improve operational performance, and maximize portfolio results.

Important Requirement

This is not a general Data Analyst position.

To be considered, candidates must have at least 2 years of experience supporting collections, recovery operations, debt buying, legal collections, or financial services.

Candidates without collections-related experience are unlikely to be successful in this role.

What You'll Do

• Analyze collector, team, and portfolio performance
• Monitor liquidation rates, recovery trends, and KPIs
• Build reports, dashboards, and scorecards
• Manage data imports, exports, and portfolio files
• Perform data validation and reconciliation
• Support inventory strategy and operational reporting
• Identify opportunities to improve recovery performance

Required Experience

Consumer Collections

Debt Buying

Recovery Operations

Legal Collections

Call Center Operations

Financial Services

Technical Skills

• SQL
• Power BI
• Advanced Excel
• Data ImportsExports
• ETL Processes
• Data Validation

What We're Looking For

• Strong analytical and problem-solving skills
• Experience supporting collections operations
• Ability to turn data into actionable business recommendations
• Strong attention to detail and data accuracy
• Ability to work independently in a fast-paced environment

Why Join NRA?

• Work directly with Executive Leadership
• Support high-impact collections and recovery initiatives
• Influence operational strategy and business decisions
• Growth opportunity into a Senior Data Analyst role
• Competitive compensation and benefits

If you have a collections background and know how to use data to improve performance, we'd love to hear from you.