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

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Date: Apr 10, 2026

Location: Dorval, Québec, CA, H4S 2A3

Company: Bombardier

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)