Analyst, Data Insights (Toronto)

Job Description

In the increasingly complex world of financial services, accurate and complete data is critical for risk management and regulatory compliance. Ensuring data integrity begins with an understanding of financial services data, data quality controls and identifying and resolving data observations and issues. Responsibilities

Data quality monitoring, observation identification and management. Review assessment of exceptions and observations management investigations. Reporting, overseeing and monitoring the remediation of data and processes as required. Conduct detailed investigations and report findings based on data exceptions, identified observations, and ad hoc requests from critical report owners and other users of shared data assets. Provide monthly summary and detailed data quality reporting to business partners, stakeholders and executive leadership, including data quality exceptions, findings and the status of outstanding observations. Regularly review and update data quality process documentation for accuracy and completeness, monitor efficiency and effectiveness, and recommend or implement improvements to controls, investigations, reporting, observations management, and workflows. Based on root‑cause analysis findings, propose process changes or improvements to address gaps or inconsistencies in data, processes, and/or controls and raise awareness of best practices and approved provisioning points for commonly used data assets. Maintain data quality tests and data quality observation repositories, and evaluate rules to ensure high quality rules are reported to stakeholders. Communicate effectively with team members, stakeholders and business partners, resolving conflicts/issues of medium complexity and escalating to others as appropriate. Bridge the gap between technical requirements and business teams to facilitate common understanding. Qualifications

Must‑have: 2+ years of experience in financial services and systems, including finance and credit risk data, data quality principles, data management, and business analysis. Knowledge of financial reporting and credit risk business concepts and procedures. Intermediate to advanced knowledge of data analysis methods and the ability to analyze and resolve complex data‑related issues. Experience conducting root‑cause analysis and using tools such as SQL and Excel. Experience with business and/or technical documentation and the assessment of existing processes and systems. Nice‑to‑have: Degree in mathematics, statistics, engineering, or a related quantitative field. Ability to manage multiple competing priorities in times of stress. Experience working with financial services and systems, including finance and/or credit risk data. Experience using Collibra or a similar data management or workflow platform. Benefits

A comprehensive Total Rewards Program including bonuses, flexible benefits, and competitive compensation. Leaders who support your development through coaching and managing opportunities. Ability to make a difference and lasting impact. Flexible work/life balance options. Work in a dynamic, collaborative, progressive, and high‑performing team with opportunities to do challenging work. Job Skills

Critical Thinking Data Administration Database Structures Data Modeling Data Movement Detail‑Oriented Group Problem Solving Information Capture Standard Operating Procedure (SOP) Teamwork Additional Job Details

Address: BAY WELLINGTON TOWER, 181 BAY ST, TORONTO, ON, Canada Work hours: 37.5 hours per week Employment Type: Full time Job Type: Regular Pay Type: Salaried

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