Data Analyst – Center of Excellence & Data Analytics

Role Overview

The Data Analyst will collaborate with audit teams, design and execute data analytics procedures, and summarize analytical results for stakeholders. The role requires strong hands-on experience with Python, SQL, Excel, Power BI, and KNIME. The Data Analyst will support continuous improvement of Internal Audit’s data analytics capabilities and tools.

What You Will Do

The Data Analyst will extract, clean, transform, and analyze data to support audit testing and risk assessments. The role involves developing and maintaining dashboards, reports, and visualizations using Power BI. The Data Analyst will also identify anomalies, trends, outliers, and risk indicators through advanced data analysis.

Why It Might Be a Fit

The Data Analyst will have the opportunity to work with a team of innovators and entrepreneurs, driving outcomes and making life in Canada better. The role requires excellent analytical and problem-solving skills, strong communication skills, and the ability to explain technical concepts to non-technical stakeholders.

Requirements

• Post-secondary education in Statistics, Mathematics, Computer Science, Data Analytics or related field.
• 3–5 years of experience in data analytics, audit, risk management, or a related field.
• Strong hands-on experience with Python, SQL, Excel, Power BI, Power Automate, etc.
• Experience with KNIME, Azure Synapse, Copilot Studio is an asset.
• Strong data visualization skills, with the ability to present analytical findings in a clear and business-relevant manner.
• Excellent analytical and problem-solving skills with strong attention to detail and data accuracy.
• Ability to work with structured and unstructured data from multiple sources and translate business questions into analytical solutions.
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Knowledge of audit, risk management, internal controls, and business processes.

Benefits

• Comprehensive benefits and retirement programs
• Performance incentives, Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities and product discounts

Tagged as: Data Analysis