Job Description
The Collections Analyst supports the company’s collections activities by leveraging both traditional collection expertise and advanced AI‑driven tools. This role analyzes customer payment behavior, identifies risk signals, automates routine collections tasks, and enhances overall cash‑flow performance using data‑powered insights. The ideal candidate is comfortable working with digital platforms, machine‑learning-augmented workflows, and automation tools to drive measurable improvements in receivables management. AI‑Enhanced Collections Utilize AI‑powered collections platforms to prioritize outreach based on predicted payment likelihood and risk scores. Review automated customer reminders and intervene when human judgment is required for escalations or sensitive accounts. Monitor AI‑generated dispute categorizations and validate accuracy before resolution. Identify opportunities to optimize automation rules and improve the accuracy of AI‑driven recommendations. Data Analysis & Predictive Insights Analyze customer payment patterns using dashboards and predictive analytics tools (e.g., aging forecasts, risk models, cash‑flow predictions). Interpret AI‑generated insights to guide targeted collection strategies. Prepare recurring analytics reports—including dispute trends, predicted delinquencies, and cash‑forecast variance analysis. Customer & Cross‑Functional Collaboration Work with Sales, Billing, Customer Support, and Finance to resolve root‑cause issues surfaced by AI tools (e.g., invoice errors, order discrepancies). Communicate professionally with customers via email, phone, and automated engagement platforms. Document all collection actions in AI‑enabled systems to improve model training and future accuracy. Compliance, Controls, & Process Improvement Ensure AI‑assisted processes comply with company policies, audit standards, and financial controls. Review AI outputs for quality, fairness, and accuracy; escalate anomalies when needed. Recommend enhancements to digital workflows, automation scripts, and data processes. Participate in technology pilots and provide feedback to improve AI adoption and user experience. Education And Experience Requirements Bachelor’s degree in Accounting, Finance, Business Administration, Data Analytics, or related field (or equivalent experience). Required Skills and Competencies 2+ years of experience in collections, accounts receivable, credit analysis, or finance operations. Strong analytical and problem‑solving skills, with the ability to interpret data from dashboards and reports. Familiarity with AI‑enabled financial tools, automation software, or analytics platforms. Proficiency in Microsoft Excel and ERP systems. Excellent communication, negotiation, and customer‑relationship skills. Preferred Experience working with AI‑powered collections platforms (e.g., HighRadius, Billtrust, Sidetrade, YayPay, or similar). Understanding of machine‑learning concepts and how they apply to collections. Background in shared services, high‑volume AR environments, or digital transformation projects. Experience with data visualization tools (Power BI, Tableau, Looker). The well-being of our employees is paramount. For that reason, ACBJ offers a variety of rich and competitive benefits including bundled health, dental and vision plans designed to meet our employees' needs. We also provide programs to support mental health and wellness and a generous time-off policy in support of taking the time needed to recharge. Here are just a few of our programs: Paid Parental Leave 401K Plan with Employer Match Flexible Spending Accounts Employee Assistance Program Multiple Employee Dependent Scholarship Programs Commuter Flexible Spending Lifestyle Programs (Including incentives for healthy habits) Medical Infertility Services Corporate discount programs Employee Recognition/Service Awards * And so much more! (Benefits coverage indicated above may be based on employee participation in benefit programs and eligibility)This Company is an Equal Opportunity Employer. The Company considers applicants for all positions without regard to race, color, religion, national origin, gender, age, marital status, disability, veteran status, sexual orientation, genetic information or any other charac