Ops Excellence Associate (Contractual)

Daraz; Islamabad; On-site; PKR 893,000 - 1,339,000; Full time

Job summary

Daraz is seeking an Associate in the Operations Excellence team in Pakistan for a 6-month contract. You will support process improvement across logistics functions, perform audits, and drive quality controls to enhance efficiency and customer satisfaction.

You will work with First Mile, Sortation, Line Haul and Last Mile teams, applying Lean principles and data-driven methods to reduce waste and cost per order. Training and KPI tracking are part of the role.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Business Administration, Supply Chain or related field.
• Experience or exposure to process improvement and logistics operations is preferred.
• Familiarity with Lean/Six Sigma concepts and data-driven problem solving.

Responsibilities

• Identify and implement process improvements across First Mile, Sortation, Line Haul and Last Mile logistics.
• Conduct audits, data analysis and KPI monitoring to reduce waste and drive productivity.
• Lead training and development on operational excellence practices for staff.
• Collaborate cross-functionally to drive cost optimization and customer satisfaction.

Skills

Power BI

SQL

Data analysis

Education

Bachelor's or Master's degree in Engineering, Business Administration, Supply Chain

Tools

Data warehousing tools

Job description

PLEASE NOTE: This is a 6-month long contractual position that can be renewed based on the individual's performance.

As an Associate 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. This role involves audits, data analysis, quality checks, training programs, and the application of quality management practices to elevate logistics performance across Pakistan.

Job Description:

• Process Improvement: Identify and analyze inefficiencies across logistics processes and eliminate waste through strategic planning and process optimization.
• Lean Management Practices: Promote and embed Lean principles into daily operations across the logistics network.
• Continuous Improvement Projects: Support and execute projects aimed at enhancing efficiency, reducing cost per order, and improving customer experience.
• Root Cause Analysis & Countermeasures: Conduct root cause analysis for operational issues and implement corrective and preventive measures.
• Quality Management Tools: Apply quality tools and methodologies such as Six Sigma and Kaizen to ensure high operational standards.
• Cross-Department Collaboration: Collaborate with teams across First Mile, Sortation, Line Haul, Last Mile, and support functions to drive integration and visibility.
• Training & Development: Assist in training staff across departments on operational excellence practices and quality standards.
• KPI Monitoring: Monitor and report key logistics KPIs through dashboards and performance tracking tools.
• Quality Audits: Perform SOP and quality audits at logistics sites, share scores with leadership, and follow up on improvements.
• Cost Optimization & Customer Satisfaction: Contribute to reducing logistics costs and improving end-customer experience.
• Nationwide Audits: Participate in scheduled operational audits at logistics hubs and facilities across Pakistan to uphold standards.

Required Skills:

• Bachelor’s or Master’s degree in Engineering, Business Administration, Supply Chain, or a related field from a reputable institution. 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.