CC&L; Financial Group is seeking an Analyst for Analytics Quality in its Process Engineering team. Bring your expertise in analytics and process improvement to elevate data management quality. You’ll act as an individual contributor managing the integrity of performance and risk analytics, addressing data-quality issues, and fostering process enhancements.

In this role, you'll ensure compliance with best practices and automate processes, while also supporting cross-functional teamwork. Your insights will help mitigate risks and simplify analytics workflows. Key Responsibilities:

- Validate and maintain calculated analytics across systems
- Analyze and resolve exceptions in data quality
- Manage and automate scheduled analytic processes




- Identify areas for process improvement and simplification
- Serve as an analytical expert for process-related inquiries Requirements:
- Bachelor’s degree in finance, data science, or quantitative disciplines
- Experience with data management in complex environments
- Familiarity with analytics tools and programming (Python, SQL)
- Robust analytical and communication skills
- Dedication to assessing and mitigating process risks Take ownership of analytics quality and support CC&L; Financial’s mission with your expertise.

📌 Analytics Quality Analyst - Process Engineering Role (Toronto)
🏢 Connor, Clark u0026 Lunn Financial Group
📍 Toronto