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Bombardier

Analyst, Strategy and Business Development

Pointe-Claire, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

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

When applicable, Bombardier promotes flexible and hybrid work policies.

Why join us?

At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.

Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.

Bombardier’s Benefits Program

With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

What are your contributions to the team?

Contribute to the improvement of current inventory algorithms and planning logic by analyzing reorder points, demand variability, forecast bias, consumption patterns and inventory segmentation.
Ensure the quality, reliability and governance of inventory and master data used for inventory decisions, reporting, forecasting models and future AI-enabled tools.
Validate ERP and planning data, identify anomalies, investigate root causes and recommend corrective actions to improve data integrity across sites and systems.
Support the development, testing and monitoring of forecasting, replenishment and inventory recommendation models, including machine learning and AI-enabled decision-support tools.
Review AI-generated recommendations before operational deployment to ensure outputs are explainable, aligned with business rules and supported by appropriate human oversight.
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.
Collaborate with Material Logistics, Planning, Operations, Finance, IT, Data Science and Digital Transformation teams to translate business needs into analytical and digital solutions.
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.
Document assumptions, model inputs, business rules, data definitions and decision logic to ensure consistency, traceability and governance.
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 advanced Power BI skills, including interactive dashboards, executive scorecards, trend analysis, KPI monitoring, and automated reporting.
Have intermediate to advanced 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.
Interpret AI-assisted outputs with business judgment, ensuring recommendations are explainable, reliable, and aligned with inventory planning rules.
Have exposure to forecasting, inventory management, material planning, replenishment, master data, logistics, or supply chain planning.

Now that you can see yourself in this role, apply and join the Bombardier Team!

Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position. We’re not looking for the perfect candidate, we’re looking for great talent and passionate individuals.

Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.

Job Analyst, Strategy and Business Development

Primary Location CFG - Des Sources

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Referral Amount $2,000.00

Requisition 16142 Analyst, Strategy and Business Development

Apply About employer

More about this job

Responsibilities

Analyze and improve inventory algorithms, planning logic, data quality, and forecasting and replenishment models, including AI-enabled decision-support tools. Build dashboards and KPIs, collaborate across business and technical teams, and communicate analytical findings and recommendations to support inventory optimization and digital transformation.

Requirements

Requires at least two years of relevant experience and a bachelor's degree in a related discipline, along with experience using ERP systems, planning tools, and operational data. Candidates should have strong Excel and Power BI skills, intermediate-to-advanced SQL knowledge, and familiarity with inventory planning, forecasting, analytics platforms, and responsible use of AI tools.

Skills

Inventory Analysis
Supply Chain Analytics
Inventory Optimization
Forecasting
Demand Planning
Data Analysis
SQL
Python
Microsoft Excel
Power Query
Power Pivot
Power BI
ERP Systems
Machine Learning
Artificial Intelligence
Data Governance

Benefits

Dental Insurance
Medical Insurance
Life Insurance
Disability Insurance
Competitive Base Salary
Retirement Savings Plan
Employee Assistance Program
Telehealth Program

Visa sponsorship

Not detected in the job text

Keywords

Inventory Algorithms
Reorder Points
Demand Variability
Forecast Bias
Inventory Segmentation
Master Data
ERP Systems
Forecasting Models
Replenishment
Machine Learning
Artificial Intelligence
Power BI
Microsoft Excel
Power Query
Power Pivot
SQL
Python
Microsoft Copilot
Generative AI
Azure Synapse Analytics
Azure Data Lake
Databricks
Data Warehouses
Predictive Analytics
Anomaly Detection
Inventory Optimization
Demand Forecasting
Exception Management
KPI Monitoring
Data Governance

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