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ERP & Business Intelligence Manager – NetSuite Expert

Job in Laval, Province de Québec, Canada
Listing for: St-Amour
Full Time, Seasonal/Temporary position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, Business Continuity
Salary/Wage Range or Industry Benchmark: 100000 - 140000 CAD Yearly CAD 100000.00 140000.00 YEAR
Job Description & How to Apply Below

Job description :

Working hours:

Monday to Friday

Location:

North Shore/Lanaudière – 2/3 day in the office

Salary: $100-140k depending on experience

Position type: permanent contract

Job description

Our client is a company specializing in the manufacture of building materials. They are seeking a new ERP & Business Intelligence Manager with Net Suite expertise to organize and optimize the use of strategic data.

Your role:

ERP Optimization and Management:

  • Optimize configuration, operational workflows, and data structures
  • Ensure data reliability, consistency, and scalability
  • Support system deployment in a context of growth and integration
  • Business Intelligence Development:

  • Design and deploy dashboards for operational teams and management
  • Define and track performance metrics aligned with strategic objectives
  • Structure and harmonize operational and financial reports
  • Transform business needs into clear, actionable visual analytics
  • Team Support:

  • Train users on best practices and tool usage
  • Simplify data access and facilitate understanding
  • Support system adoption during growth and integration phases
  • Support and Continuous Improvement:

  • Provide functional support to management teams
  • Collaborate with specialized external partners
  • Identify and lead continuous improvement initiatives
  • Skills and qualifications :

  • 3 to 5 years of experience with Net Suite ERP systems
  • Excellent practical knowledge of AI tools such as Claude (including its integration with Word, Excel, and PowerPoint) as well as ChatGPT.
  • Experience in business intelligence, reporting, and data structuring
  • Ability to define performance metrics and structure data models
  • Excellent analytical skills and a systematic approach
  • Ability to explain complex concepts in simple terms
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