Execute detailed on-site time studies (e.g., stop-watch, work sampling) and utilize predetermined time systems to define efficient work methods and accurately measure the time required for various warehouse tasks (e.g., picking, packing, receiving, and put away).
Analyze current labor utilization data, comparing actual performance against preliminary and established standards to identify variances, bottlenecks, and opportunities for efficiency gains.
Help develop and document foundational labour standards for core warehouse processes. This includes applying appropriate allowances (e.g., fatigue, unavoidable delays) and validating standards with operational management.
Assist the Process Engineer in mapping current-state and future-state workflows, standardizing operating procedures (SOPs), and documenting engineered standards for deployment within a Labour Management System (LMS).
Collect, clean, and manage large datasets. Prepare reports and dashboards (utilizing tools like Excel, Power BI, or SQL) to communicate findings, justify standard changes, and track project progress to stakeholders.
Participate in Lean Six Sigma initiatives, Kaizen events, and other projects aimed at eliminating waste and streamlining operational flows across the facility.
Other job duties as assigned.
What You Bring:
Currently pursuing a Bachelor’s or Master’s degree in Industrial/Mechanical Engineering, Supply Chain Management, or a closely related technical field.
Demonstrated understanding of Engineering principles, including work measurement, time studies, capacity planning, and facility layout.
Proficiency in Microsoft Excel is required; experience with tools like Power BI, SQL, or Python is considered an asset.
Strong analytical, problem-solving, and critical thinking skills.
Excellent written and verbal communication skills, with the ability to interact with front-line workers and management.
Self-motivated, proactive, and capable of working independently on defined tasks.
