Senior Analyst, AR Collections

Reliance Home Comfort • Toronto, ON

2d • Hybrid

About The Position

Reliance is seeking a Senior Analyst, AR Collections to join their team. This role involves analyzing key AR and collections performance metrics, developing standardized dashboards and reporting, and translating business requirements into analytical datasets. The analyst will also perform ad-hoc analysis, data validation, and partner cross-functionally with various teams to enhance data pipelines and support future-state analytics. Daily campaign planning, configuration, maintenance, and monitoring of dialer platforms are also key responsibilities. The role requires using SQL and Python for data analysis and ensuring compliance with dialing rules. Documentation of KPI definitions and leading testing, compliance, audits, and day-to-day operations are also part of the role.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business, or a related field
• 3+ years of experience in analytics, business intelligence, or data analyst roles, preferably supporting AR, collections, or call center operations
• Strong SQL expertise with experience in ETL workflows, data transformation, and data quality validation
• Advanced Excel skills, including Power Query and Power Pivot, for data modeling and financial analysis
• Experience with Python for data analysis, automation, and workflow optimization
• Hands-on experience with Power BI (or similar BI tools) for dashboard development and performance monitoring
• Strong understanding of data modeling methodologies (e.g., star schema, fact/dimension models)
• Familiarity with collections KPIs and performance frameworks (e.g., roll rates, cure rates, recovery curves, bad debt forecasting)
• Strong communication skills with the ability to translate insights into clear, business-relevant recommendations
• High attention to detail with a focus on data integrity and accuracy
• Ability to manage multiple priorities and deliver insights in a fast-paced, performance-driven environment

Nice To Haves

• Experience with Microsoft Fabric or modern data platforms
• Background in collections strategy analytics, call center, credit risk, or customer lifecycle management
• Exposure to predictive modeling, propensity scoring, or AI-ready data structures supporting next-generation collections capabilities
• Experience supporting digital collections, self-serve channels, or treatment strategy optimization

Responsibilities

• Analyze key AR and collections performance metrics, including delinquency trends, roll rates, cure rates, and bad debt expense, to identify opportunities to improve recovery and reduce risk exposure
• Develop and maintain standardized dashboards and reporting to monitor portfolio performance (e.g., aging curves, collections effectiveness, payment behaviors, and strategy performance)
• Translate business requirements into analytical datasets, KPIs, and reporting frameworks aligned to collections strategy and operational workflows
• Perform ad-hoc analysis, reconciliations, and scenario modelling (e.g., impact of strategy changes on cash flow or bad debt)
• Perform data validation, reconciliation, and lineage tracking to ensure data accuracy across AR systems and reporting layers
• Partner cross-functionally with Collections Operations, Finance, Product, and Data teams to enhance data pipelines, enable automation, and support future-state analytics (e.g., predictive models, AI-driven decisioning)
• Daily campaign planning, documenting and executing. Configure, maintain, and monitor dialer platforms – IB and OB. Manage messages, language, formatting etc
• Use SQL and Python to extract, transform, and analyze large datasets, supporting ongoing performance tracking and deep-dive analysis
• Maintain compliance with dialing rules (e.g., time zones, call frequency limits)
• Document KPI definitions, business logic, and assumptions to ensure consistency and transparency across reporting
• Lead testing, compliance, audits and day to day operations

Benefits

• The tools you need to succeed – including the tools for the job as well as training and development programs
• A successful and knowledgeable team to be part of and learn from
• Competitive base pay plus the ability to earn more tied to your success
• A great benefits plan for you / your family
• Career paths so you can advance in the company

What This Job Offers

• Job Type: Full-time
• Career Level: Senior