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Computer Engineering Data & Business Intelligence Analyst Cmms Montreal Dorval
Job in
Dorval, Montréal, Province de Québec, H0S, Canada
Listed on 2026-07-07
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
Job Description & How to Apply Below
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.
- 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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