E‑commerce Warehouse Lead & KPI Champion

noon; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

noon is expanding its logistics operations in the region and seeks a data-driven analyst to optimize warehouse performance. You will own KPI tracking, ERP reporting, and daily workflow coordination to improve efficiency and cost.

You will partner with cross-functional teams to enable strategic decisions. Ideal candidates have 3+ years in e-commerce logistics, strong analytical skills, and proficiency with Excel, Python, BigQuery, and BI tools.

Qualifications

• Bachelor’s degree in Logistics or Supply Chain Management or a related field.
• Minimum 3 years of ecommerce experience in a related role.
• Strong analytical skills with business acumen.
• Excellent interpersonal and communication abilities with stakeholders.
• Proficient in Excel, BI tools, and ERP familiarity.

Responsibilities

• Ensure orders are fulfilled per quality and safety guidelines within target TAT.
• Define and track the most important warehouse KPIs.
• Shift management and KPI reporting to senior management.
• Demonstrate understanding of ERP functions to maximize output.
• Train and guide warehouse staff on ERP and best practices.
• Plan and assign daily work; address performance issues.
• Communicate and collaborate with team members.

Skills

Analytical skills

Business acumen

Communication skills

Stakeholder management

Excel

Python

BigQuery

Power BI

Data visualization

Education

Bachelor’s Degree in Logistics or Supply Chain Management

Tools

Excel

BigQuery

Python

Power BI

Data Studio

Job description

noon is expanding its logistics operations in the region and seeks a data-driven analyst to optimize warehouse performance. You will own KPI tracking, ERP reporting, and daily workflow coordination to improve efficiency and cost.

You will partner with cross-functional teams to enable strategic decisions. Ideal candidates have 3+ years in e-commerce logistics, strong analytical skills, and proficiency with Excel, Python, BigQuery, and BI tools.