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Analyst, Strategy & Business Dev.

Bombardier
Quebec, CAN
Entry
Onsite
Discovered 2 weeks ago
Inventory analysisSupply chain analyticsInventory managementSQLPythonMicrosoft Excel

Full Job Posting

Role responsibilities

  • Determine required inventory levels by family and product class and analyze procurement strategy impacts, recommending ways to mitigate them.
  • Track production-rate changes, anticipate inventory fluctuations, and monitor inventory components and locations.
  • Develop and maintain automated dashboards, Power BI reports, executive scorecards, and KPIs for inventory and material-flow performance.
  • Use SQL, Python, Excel, Power Query, and other tools to analyze and automate inventory data processes.
  • Support predictive, automated, and AI-assisted planning, including forecasting, inventory optimization, exception management, and anomaly detection pilots.
  • Present findings, model outputs, risks, trade-offs, and recommendations to technical and non-technical stakeholders.
  • Stay current with AI, machine learning, supply chain analytics, forecasting, and inventory optimization and identify practical use cases.

Qualifications

  • At least 2 years of experience in inventory analysis, supply chain analytics, business analytics, data analysis, logistics, planning, finance analytics, or a related field.
  • A bachelor's degree in supply chain, logistics, industrial engineering, business analytics, data science, computer science, mathematics, statistics, or a related discipline.
  • Experience with ERP systems, planning tools, business databases, and operational data sources.
  • Advanced Excel skills, including pivot tables, Power Query, Power Pivot, formulas, data modeling, and dashboard development.
  • Power BI skills for interactive dashboards, executive scorecards, trend analysis, KPI monitoring, and automated reporting.
  • Basic to intermediate SQL skills for extraction, transformation, joins, query development, and large-dataset validation.
  • Basic to intermediate knowledge of data warehouses and cloud analytics platforms such as Azure Synapse Analytics, Azure Data Lake, and Databricks.
  • Understanding of AI and machine learning, including predictive analytics, anomaly detection, forecasting models, and recommendation logic.
  • Ability to responsibly apply Microsoft Copilot and generative AI tools; exposure to forecasting, inventory management, material planning, replenishment, master data, logistics, or supply chain planning.

Role focus

  • Inventory planning and analytics, supply chain data, dashboards, reporting, forecasting, and process automation.
  • The role supports a transition from manual or rule-based planning to predictive and AI-assisted processes.

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