Canadian Pacific - Manager, Data Analytics (Internal Audit)

• University degree in Business, Data Science, Computer Science or related field
• 5+ years of data analytics experience. Audit and/or risk management related experience would be considered as a significant additional asset.
• Solid understanding of a combination of ETL and data visualization tools
• Established analytical, investigative, problem-solving and root cause identification skills
• Experience with SAP core modules and BASIS is an asset
• Excellent verbal and written communication capabilities with technical and non-technical audiences
• Must be both team oriented and able to work independently with limited supervision
• Desire to drive change and innovation

Canadian Pacific (CP) and Kansas City Southern (KCS) are now CPKC. As the only truly North American railway, we are making big moves! Drawing on our strong foundations and heritage, CPKC moves essential goods across our 20,000-mile network to support economic growth throughout Canada, the U.S. and Mexico. Be a part of history as we connect a continent and create exciting career opportunities across our new transnational network. Visit cpkcr.com to learn about the CPKC advantage, our purpose and culture

The Manager, Data Analytics (internally called Advisor, Data Analytics) is responsible for delivering Internal Audit’s data analytics roadmap and supporting completion of the annual audit plans. The successful candidate will work closely with the Internal Audit team and stakeholders across the organization to provide analytics insight on multiple audit engagements and build-out our continuous assurance program. This role will report to the Director, IS Internal Audit and does not have any direct reports.

POSITION ACCOUNTABILITIES:

• The successful candidate will perform the following activities
• Creatively work with multiple tools to manage and analyze large volumes of data from multiple sources
• Work with IA leadership to consistently advance our continuous assurance program
• Provide analytics support during planning, execution and reporting phases of audit engagements
• Take leadership on audit engagements with a significant data component
• Support the development and maintenance of IA’s risk monitoring dashboards
• Offer coaching to progressively improve data literacy of the broader audit team
• Maintain and develop competencies in advanced analytics, process automation and artificial intelligence
• Maintain objectivity and independence while fostering positive and professional relationships with Management
• Maintain skills and knowledge through education, training, internal and external partners, colleagues and information sources
• Promote innovation within Internal Audit and provide leadership on the use of AI, Machine Learning and similar technologies
• Develop knowledge of the railroad and industry/CPKC specific processes and technologies.
• Support IA software in the “Super User" capacity