Job Description

Job Description

Job Title: Audit Data Analytical Specialist Client: Metrolinx

Location:
Toronto, Ontario Work Model: Up to 3 days onsite (subject to HM's discretion) Duration: 6 Months Submission Deadline: July 15, 2026, 12pm Must Haves 5 years experience
- Proficiency in Excel, SQL, and Python for querying, manipulating, validating, and analyzing data. 5 years experience and skill with preparing analyses, summaries, memos, and reports using computer applications including Power-BI, Databricks, and MS suite. 5 years experience
- Analyze large and complex datasets to identify trends, anomalies, and potential control gaps.

Description / Responsibilities / Skills Description This role conducts independent, objective, and constructive assessments of the adequacy and effectiveness of management's processes to identify and mitigate significant risks across Metrolinx in accordance. Follows the standards of the Institute of Internal Auditors (IIA), the internal audit profession's industry best practices, and the Internal Audit Charter.

Responsible for leading the Audit Analytics function within the Audit Regulatory Compliance and Control (ARCC) department to organize, review, and present insights on available datasets within the internal audit framework. The role will support the establishment of repeatable analytical models and approaches for audit engagement in coordination with audit managers. This role will also work with existing client groups within Metrolinx to leverage these audit analytics into control monitoring and improvements. What will I be doing?

Support the technical design and execution of data analytics to enhance audit scoping, testing, monitoring and reporting.



Apply automation, AI, and data analytics to enhance audit processes to improve efficiency, assess risks and controls, and provide better audit insights. Present complex data findings in a transparent and compelling manner using data visualization tools and dashboards. Continuously develop and maintain scalable and reusable analytics that enhance fraud detection and control testing.

Analyze large and complex datasets to identify trends, anomalies, and potential control gaps. Review source data for quality issues, inconsistencies, and anomalies, and work with audit teams and business leads to resolve gaps or limitations. What Skills and Qualifications Do I Need? Completion of a degree in Mathematics and Statistics, Business Administration, Accounting, Information Technology, or a related discipline.

Demonstrated progressive experience conducting internal audits or data analysis, or a comparable combination of progressive experience in internal and external risk management or audit. Continuing Education in auditing, project management, technology and / or construction is required. Experience and skill with preparing analyses, summaries, memos, and reports using computer applications including PowerBI, Databricks, or SAS is a requirement. Proficiency in SQL and Python for querying, manipulating, validating,



and analyzing data.

Must Haves 5 years experience
- Proficiency in Excel, SQL, and Python for querying, manipulating, validating, and analyzing data. 5 years experience and skill with preparing analyses, summaries, memos, and reports using computer applications including Power-BI, Databricks, and MS suite. 5 years experience
- Analyze large and complex datasets to identify trends, anomalies, and potential control gaps.

Experience & Skill Set Requirements Must Haves 5 years experience
- Proficiency in Excel, SQL, and Python for querying, manipulating, validating, and analyzing data. 5 years experience and skill with preparing analyses, summaries, memos, and reports using computer applications including Power-BI, Databricks, and MS suite. 5 years experience
- Analyze large and complex datasets to identify trends, anomalies, and potential control gaps. What Skills and Qualifications Do I Need?

Completion of a degree in Mathematics and Statistics, Business Administration, Accounting, Information Technology, or a related discipline Demonstrated progressive experience conducting internal audits or data analysis, or a comparable combination of progressive experience Continuing Education in auditing, project management, technology and / or construction is required Relevant designations are expected with priority given to auditing designations Experience and skill with preparing analyses, summaries, memos, and reports using computer applications including PowerBI, Databricks, or SAS is a requirement. Proficiency in SQL and Python for querying, manipulating, validating, and analyzing data.

📌 Audit Data Analytical Specialist (Toronto)
🏢 Innosystech
📍 Toronto