Join Bombardier as a Business Analyst specializing in strategic inventory planning, forecasting, and data science to optimize supply chain operations and drive data-driven decision-making in a dynamic aerospace environment.

Overview

Bombardier, a global leader in aerospace and transportation solutions, is looking for a talented Business Analyst to spearhead strategic inventory planning, forecasting, and data science efforts. In this pivotal role, you will analyze complex datasets to develop accurate forecasting models, optimize inventory levels, and provide actionable insights that enhance operational efficiency and reduce costs.

Key Responsibilities

• Collaborate with supply chain, finance, and operations teams to gather requirements and define business needs for inventory and forecasting processes
• Develop and maintain advanced forecasting models using statistical methods and data science techniques
• Perform data mining, cleansing, and visualization to identify trends, risks, and opportunities in inventory management
• Implement inventory optimization strategies to balance service levels and costs
• Create dashboards and reports using tools like Power BI or Tableau for executive stakeholders
• Conduct root cause analysis on inventory discrepancies and recommend process improvements
• Stay abreast of industry best practices in data science and supply chain analytics

Why Join Bombardier?

Be part of an innovative team shaping the future of aerospace. This remote-certified position offers the flexibility to work from anywhere while contributing to high-impact projects in a renowned company committed to sustainability and excellence.

• Bachelor's degree in Business Administration, Statistics, Data Science, Supply Chain Management, or a related field; Master's degree preferred
• 5+ years of experience as a Business Analyst or similar role, with a focus on inventory planning, demand forecasting, and data analytics
• Proficiency in data analysis tools such as SQL, Python, R, or Tableau for forecasting models and inventory optimization
• Strong understanding of supply chain management principles, ERP systems (e.g., SAP), and statistical modeling
• Excellent analytical, problem-solving, and communication skills
• Experience with data science techniques including machine learning for predictive analytics is a plus
• Ability to work collaboratively in cross-functional teams

• Competitive monthly salary range with performance bonuses
• Comprehensive health, dental, and vision insurance
• Generous pension and retirement savings plans
• Flexible remote work options with certification support
• Professional development opportunities and training programs
• Paid time off, including vacation and parental leave
• Employee assistance programs and wellness initiatives