Ops Excellence Associate

About the role

As a specialist in the Operations Excellence team, you will support and implement process improvement initiatives across all logistics operations including First Mile, Sortation, Line Haul, and Last Mile. You will work closely with various operational teams to identify inefficiencies, reduce waste, enhance productivity, and foster a culture of continuous improvement.

Key responsibilities

• Identify and analyze inefficiencies across logistics processes and eliminate waste through strategic planning and process optimization.
• Promote and embed Lean principles into daily operations across the logistics network.
• Support and execute continuous improvement projects aimed at enhancing efficiency, reducing cost per order, and improving customer experience.
• Conduct root cause analysis for operational issues and implement corrective and preventive measures.
• Apply quality tools and methodologies such as Six Sigma and Kaizen to ensure high operational standards.
• Collaborate with teams across First Mile, Sortation, Line Haul, Last Mile, and support functions to drive integration and visibility.
• Assist in training staff across departments on operational excellence practices and quality standards.
• Monitor and report key logistics KPIs through dashboards and performance tracking tools.
• Perform SOP and quality audits at logistics sites, share scores with leadership, and follow up on improvements.
• Participate in scheduled operational audits at logistics hubs and facilities across Pakistan to uphold standards.

Required profile

• Bachelor’s or Master’s degree in Engineering, Business Administration, Supply Chain, or a related field; a data background is preferred.
• 0 to 2 years of experience in process improvement, logistics operations, or performance management.
• Solid understanding of supply chain, warehousing, and logistics functions.
• Exposure to Lean and Six Sigma methodologies (certification is a plus).
• Hands‑on experience with Power BI, SQL, and data warehousing tools is desirable.

Required skills

• Lean methodology
• Six Sigma methodology
• Kaizen
• Power BI
• SQL
• Data warehousing tools