The Supply Chain & Inventory Analyst will be responsible for assembling supply chain (Logistics, Procurement, Inventory and Planning) data and the analysis of that data to determine & track performance, identify gaps/issues and develop recommendations to support continuous improvement efforts in these areas while accounting for all stakeholder needs in each process.

Degree or Diploma in Supply Chain Management preferred, but a related Degree/Diploma (e.g. in Business Administration, Accounting, or Engineering) along with a certification in Supply Chain Management may be substituted.Minimum 5 years' experience in a complex production and planning environment preferred.Minimum 5 years' combined experience with data analysis and process improvement preferred.Lean or Six Sigma certification preferred.Experience in electronics manufacturing preferred.Must be familiar with logistics and production planning concepts; experience in various supply chain roles and functions an asset (Planning, Logistics, Procurement) an asset.Project management experience and skills an asset.Experience with S&OP processes an asset.Excellent knowledge of ERP MRP II environments, with specific competency in inventory management and production control.Ability to translate theory into practice.Expert-level skills with databases and spreadsheets.Very strong critical/creative thinking and problem-solving skills.Ability to document processes in a clear manner.Excellent attention to detail.Excellent prioritization and time management skills; ability to juggle and manage competing priorities in a constantly changing environment.Ability to work under pressure against tight deadlines.Demonstrated capability to manage projects and achieve results in a self-driven manner by utilizing a data-driven, analytical, and detail-oriented approach.Possess excellent interpersonal verbal and written communication skills and the ability to work with individuals at all organizational levels.Demonstrated ability to work both independently and as part of a team.Experience and comfort with lean manufacturing and continuous improvement methodologies (e.g., Kaizen, RCA, DMAIC, 5S, Bottleneck analysis, PDCA, Value Stream Mapping, Visual Factories etc.).