Predictive Planning & Inventory Analyst

The Predictive Planning & Inventory Analyst coordinates material purchasing, demand forecasting and inventory control to optimize supply chain operations across key product lines. This role collaborates cross-functionally with Sales, Operations, Engineering, Project Management and Procurement to align S&OP cycles, mitigate inventory risks, and maintain accurate inventory turns.

A key driver of modern operational efficiency, the Analyst actively leverages Artificial Intelligence, machine learning algorithms, and predictive analytics to refine demand forecasting, optimize stock levels, and automate workflows.

• Analyze delivery certainty of larger projects.
• Evaluate inventory availability for non-standard requirements while optimizing availability for standard skews.
• Adjust material order requirements based on the delta between production forecasts and backlog.
• Monitor, identify, and correct system discrepancies to maintain ordering accuracy.
• Verify material requirements for project transfers from other Canam manufacturing plants.

• Lead the demand planning cycle across product categories (including Hot Rolled Angles, bridging, Channels, Cold Formed angles, and Deck coils), maintaining rolling forecasts, trend analysis, and seasonality tracking.
• Collaborate cross-functionally with Sales, Operations, Engineering, and Project Management to validate demand assumptions and resolve forecast gaps.
• Update, present, and align S&OP (Sales & Operations Planning) files, track material rolling dates, and submit the Monthly Material Requirement Overview to Corporate.

• Monitor on-hand, in-transit, and on-order materials daily; flag supply chain risks and potential stockouts or overstock events.
• Own inventory accuracy and maintain target inventory turns through established control procedures, cycle counts, reconciliations, and root cause analyses.
• Support facility operational improvement initiatives.

• Maintain, update, and publish key KPI reports and dashboards from internal systems to provide visibility into replenishment, backorders, and supplier performance
• Maintain and update critical decision-making tools used for cost tracking, inventory visibility, and material planning
• Partner on process improvement initiatives to automate routine administrative tools and streamline purchasing workflows.
• Design, test, and implement machine learning algorithms and predictive models to optimize inventory levels and forecast demand.
• Proactively identify operational bottlenecks, investigate inventory discrepancies, and execute corrective action plans.
• Deliver high execution standards across all analytical, forecasting, reporting, and material planning tasks independently.

• Experience: 3–5 years of progressive experience in material purchasing, materials management, production planning, or supply chain analysis within a manufacturing environment.
• Industry Background: Previous experience with a steel mill, metal service center, fabrication plant, or heavy manufacturing environment preferred.
• Technical Proficiency
  :
  • Proficiency with ERP systems and Google Suite / Microsoft Excel.
  • Demonstrated capability in data analysis, dashboard creation, and working with complex datasets to drive decision-making.
  • Exposure to or interest in machine learning, AI-driven demand forecasting models, and workflow automation is a strong plus.
• Analytical & Problem-Solving
  
  Skills:
  
  Strong analytical capabilities with a continuous improvement mindset; proven track record of root cause analysis, inventory reconciliation, and process optimization.
• Communication &
  
  Collaboration:
  
  Excellent written and verbal communication skills with the ability to collaborate effectively across cross-functional teams (Sales, Operations, Engineering, and Project Management) without direct authority.
• Project & Material Execution: Proven ability to manage project material flows, supplier tracking, and maintain compliance with quality, safety, and environmental policies.
• Self-Management: Highly organized with strong time‑management skills and the ability to independently prioritize workload and deliver accurate reports under tight deadlines.
• Artificial Intelligence: Proficient in leveraging Artificial Intelligence to build custom AI assistants (Gems), analyze complex datasets, and forecast business trends.

Salary Range:
$75,000.00 –…