Senior Analyst, Internal Audit, Data Analytics & Automation

Brookfield Asset ManagementToronto, ON
CA$80,000 - CA$95,000Onsite

About The Position

The Senior Analyst, Internal Audit Data Analytics & Automation, plays a hands-on role in designing, implementing, and scaling advanced analytics, automation, and AI-driven solutions across the Internal Audit lifecycle. This position extends beyond traditional reporting, emphasizing end-to-end analytics testing, process automation, AI experimentation, and innovation supported by strong governance practices. Reporting to the Director, Internal Audit Data Analytics, the Senior Analyst collaborates closely with global audit teams to enhance audit quality, improve efficiency, and generate deeper insights through the effective use of modern analytics and AI tools.

Requirements

  • 5–8+ years in audit (financial services or professional services preferred)
  • Experience applying analytics in audit or assurance environments
  • Strong experience with Alteryx, Power BI, Power Query, and UiPath
  • Exposure to process mining and ERP systems (e.g., SAP, Oracle)
  • Familiarity with AI tools and prompt engineering is an asset
  • Bachelor’s degree in a relevant field
  • Professional designation (CPA, CA) preferred
  • Strong analytical and problem-solving abilities
  • Clear communication with both technical and non-technical stakeholders
  • Ability to work independently and across global teams

Responsibilities

  • Deliver analytics testing across all phases of the audit lifecycle, including planning, risk assessment, fieldwork, and continuous monitoring
  • Perform data-driven testing to identify risks, anomalies, and trends
  • Support SOX and regulatory audits through automated testing and control analysis
  • Develop and maintain workflows using Alteryx, Power BI, and Power Query
  • Design Robotic Process Automation (RPA) solutions with UiPath to improve audit efficiency
  • Apply process mining to identify control gaps and process improvements
  • Support development of AI and generative AI use cases (e.g., Copilot, ChatGPT, Amazon Q)
  • Support responsible AI development aligned with audit analytics governance frameworks, documentation standards, and model validation expectations
  • Contribute to experimentation, proof-of-concepts, and controlled deployments
  • Develop Power BI dashboards and reports that clearly communicate audit insights to both technical and non-technical stakeholders
  • Automate recurring reporting and analytic outputs while maintaining data integrity
  • Present analytic findings to audit teams, engagement leaders, and management, translating complex results into actionable insights
  • Partner with global audit teams to embed analytics into engagements
  • Support analytics governance and quality standards
  • Contribute to training, knowledge sharing, and mentoring junior analysts on analytics techniques, automation, and audit applications
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