Data Analyst, Collections Operations & KPIs
National Money Mart Company
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
- Publié le 11 juillet 2025
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
GENERAL FUNCTION
Are you data-driven, detail-oriented, and excited about improving how things work? Join Momentum’s Collections Analytics team as a Data Analyst - Collections Operations & KPIs, and help build the dashboards, insights, and reporting that drive operational excellence and informed decision-making.
This role supports day-to-day performance monitoring and provides data insights that help optimize collection agent productivity, contact strategies, and customer outcomes. It’s a great opportunity for an early-career analyst to build experience in operations analytics within a fast-growing FinTech environment.
DUTIES/RESPONSIBILITIES
- Reporting & Performance Monitoring
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- Develop and maintain daily, weekly, and monthly reports tracking key collections performance metrics, including:
- Contact rates
- Promise-to-pay (PTP) conversion
- Queue penetration
- Agent productivity
- Cure rates and delinquency roll rates
- Collaborate with stakeholders to ensure metrics align with operational goals and business definitions.
- Data Management & Analysis
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- Extract, clean, and structure data from various sources (databases, CRMs, telephony platforms).
- Support ad hoc analysis to answer business questions, uncover root causes, and monitor initiative performance.
- Ensure data accuracy, consistency, and timely delivery across recurring reporting.
- KPI Development & Visualization
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- Work closely with operations leadership to define and evolve KPIs that reflect strategy and performance goals.
- Build interactive dashboards and visualizations in tools like Tableau or Power BI for real-time insights.
- Process Improvement Support
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- Identify gaps or bottlenecks in collections workflows through data analysis.
- Contribute to initiatives focused on improving operational efficiency and contact strategy effectiveness.
EDUCATION
- Bachelor’s degree in Data Science, Business Analytics, Economics, Finance, Mathematics, Computer Science, or a related field.
EXPERIENCE
- 1-2 years of experience in an analytical or reporting role (internships included), preferably in financial services, customer operations, or collections.
- Proficiency with SQL for querying relational databases.
- Familiarity with Excel and at least one data visualization tool (e.g., Tableau, Power BI, Looker).
- Bonus: experience working with telephony/CRM systems or operations teams.
SKILLS
- Strong attention to detail and comfort working with large datasets.
- Ability to translate business needs into analytical solutions and actionable insights.
- Eagerness to learn and grow within a fast-paced, collaborative team.
- Effective communicator with both technical and non-technical stakeholders.
- Curious, proactive, and solution-oriented mindset.
Exigences
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