Computer Engineering - Data & Business Intelligence Analyst (CMMS) - Montreal

What are your contributions to the team?

• Design, develop, and deploy high value digital tools, business applications, and KPI dashboards.
• Develop and maintain solutions using the Power Platform (Power Apps, Power Automate, Power BI) following best practices.
• Actively participate in process automation initiatives (RPA, bots, advanced workflows).
• Analyze complex business processes and propose effective, sustainable technological solutions.
• Contribute to the standardization, documentation, and governance of developed solutions.
• Ensure system performance, data quality, data security, and integration with existing platforms.
• Collaborate closely with IT teams, operations, and other stakeholders.
• Explore, test, and progressively integrate artificial intelligence capabilities when relevant.
• Support a culture of innovation, continuous improvement, and best practice development.
• Provide user training, support, and coaching.
• Identify technical issues, propose solutions, and ensure successful implementation.

How to thrive in this role?

• Bachelor’s degree in Computer Engineering, Computer Science, Software Engineering, or related field.
• 5 to 8 years of relevant experience in digital solution development and process automation.
• Demonstrated mastery of the Power Platform and associated best practices.
• Hands on experience with automation (RPA, bots, workflows).
• Strong understanding of cloud environments, particularly Microsoft Azure (an asset).
• Ability to design robust, maintainable, and scalable solutions.
• Strong analytical skills and ability to understand complex operational processes.
• High interest in emerging technologies, including artificial intelligence.
• Excellent communication skills in both English and French, spoken and written.
• Experience in a manufacturing or industrial environment.(asset)
• Knowledge of ALM / DevOps practices. (asset)
• Familiarity with Copilot, AI Builder, or other applied AI technologies. (asset)
• Autonomy, collaborative mindset, and strong initiative. (asset)