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Computer Engineering Data & Business Intelligence Analyst Cmms Montreal Dorval

Job in Dorval, Montréal, Province de Québec, H0S, Canada
Listing for: Bombarbier
Full Time position
Listed on 2026-07-07
Job specializations:
  • IT/Tech
    M365, SharePoint & Power Platform, AI Engineer (Applied/Software), Data Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 110000 CAD Yearly CAD 90000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Dorval

Responsibilities

  • 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.
Qualifications
  • 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).
  • Robust 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 setting (asset).
  • Knowledge of ALM / Dev Ops practices (asset).
  • Familiarity with Copilot, AI Builder, or other applied AI technologies (asset).
  • Autonomy, collaborative mindset, and solid initiative (asset).
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