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PC
Legal Counsel (12-month Term)
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ON · Ontario, Canada
- $105,750 to $176,250 CAD / year
- Contract
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Bombardier

Analyst, Strategy & Business Dev.

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 5, 2026
Experience: Bring at least 2 years of experience in inventory analysis, supply chain analytics, business analytics, data analysis, logistics, planning, finance analytics, or a related field.
Posting language: English
Posted: Oct 6, 2026

Original job description

What are your contributions to the team?

Determine the required inventory levels per family and product class
Analyze and communicate on the impacts linked to the different procurement strategies, makes suggestions to mitigate the impact of those strategies.
Monitor production rate changes in relation to the procurement strategy and anticipate inventory fluctuations.
Monitor the different components of inventory, as well as their different Locations.
Autonomously drive problem solving in your own specialty field
Develop and maintain automated dashboards, Power BI reports, executive scorecards and inventory KPIs to monitor inventory levels, forecast accuracy, excess and obsolete inventory, shortages, turns, service levels and material flow performance.
Apply SQL, Python, Excel, Power Query and other analytical tools to extract, transform, analyze and automate inventory data processes.
Support Bombardier’s transition from manual or rule-based planning activities toward more automated, predictive and AI-assisted ways of working.
Participate in pilots and continuous improvement initiatives related to demand forecasting, inventory optimization, exception management, anomaly detection and digital inventory control.
Present analytical findings, model outputs, risks, trade-offs and recommended actions clearly to technical and non-technical stakeholders.
Stay current on advancements in AI, machine learning, supply chain analytics, forecasting and inventory optimization, and help identify practical use cases for Bombardier.

How to thrive in this role?

Bring at least 2 years of experience in inventory analysis, supply chain analytics, business analytics, data analysis, logistics, planning, finance analytics, or a related field.
Hold a bachelor’s degree in Supply Chain, Logistics, Industrial Engineering, Business Analytics, Data Science, Computer Science, Mathematics, Statistics, or a related discipline.
Have experience working with ERP systems, planning tools, business databases, and operational data sources.
Develop dashboards, management reports, automated reporting flows, and performance scorecards.
Demonstrate advanced Excel skills, including pivot tables, Power Query, Power Pivot, formulas, data modeling, and dashboard development.
Demonstrate Power BI skills, including interactive dashboards, executive scorecards, trend analysis, KPI monitoring, and automated reporting.
Have basic to intermediate SQL knowledge, including data extraction, transformation, joins, query development, and validation of large datasets.
Have basic to intermediate knowledge of data warehouses and cloud-based analytics platforms such as Microsoft Azure Synapse Analytics, Azure Data Lake, and Databricks.
Understand artificial intelligence and machine learning concepts, including predictive analytics, anomaly detection, forecasting models, and recommendation logic.
Apply Microsoft Copilot and Generative AI tools responsibly to support data analysis, reporting, documentation, and process improvement.
Have exposure to forecasting, inventory management, material planning, replenishment, master data, logistics, or supply chain planning.

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More about this job

Responsibilities

Analyze inventory requirements, procurement strategies, production changes, and inventory fluctuations, and recommend actions to mitigate risks. Build automated dashboards and reports, apply analytical tools to inventory data, and support predictive and AI-assisted planning and continuous improvement initiatives.

Requirements

Requires at least two years of relevant experience and a bachelor's degree in a related discipline. Candidates should have advanced Excel and Power BI skills, basic-to-intermediate SQL and cloud analytics knowledge, experience with ERP and operational data, and familiarity with forecasting, inventory management, and AI/ML concepts.

Skills

Inventory Analysis
Supply Chain Analytics
Inventory Optimization
Demand Forecasting
Power BI
Advanced Excel
SQL
Python
Power Query
Power Pivot
ERP Systems
Data Warehousing
Azure Synapse Analytics
Azure Data Lake
Databricks
Generative AI

Visa sponsorship

Not detected in the job text

Keywords

Inventory Analysis
Inventory Optimization
Supply Chain Analytics
Procurement Strategy
Demand Forecasting
Material Planning
Replenishment
ERP Systems
Power BI
Excel
Power Query
Power Pivot
SQL
Python
Data Warehouses
Microsoft Azure Synapse Analytics
Azure Data Lake
Databricks
Artificial Intelligence
Machine Learning
Predictive Analytics
Anomaly Detection
Generative AI
Microsoft Copilot
KPI Monitoring
Automated Reporting
Exception Management
Master Data
Logistics
Continuous Improvement

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