Logistics Cost Analytics & Optimization Lead

JD.com; Fontana (CA); On-site; USD 70,000 - 100,000; Full time

Job summary

JINGDONG Logistics is seeking a Cost Analysis & Optimization Specialist based in Fontana, Chino, or City of Industry, California. The role pays $70,000–$100,000 USD annually plus an annual performance bonus, with opportunity to impact warehousing, transportation, procurement, and labor costs.

The ideal candidate will analyze cost data, define data governance, and drive cross-functional cost-improvement initiatives across logistics operations, using Excel, SQL, Power BI, and Tableau.

Qualifications

• Bachelor's degree or above in a related field preferred.
• Strong data analysis and business acumen.
• Excellent project management and cross-functional communication skills.
• Knowledge of logistics operating cost structures.
• Proficiency in Excel and analytics tools (SQL, Power BI, Tableau).
• Ability to drive cost optimization initiatives.

Responsibilities

• Analyze and monitor business performance and cost data; identify drivers and opportunities.
• Define cost data definitions, collection, allocation, and accounting processes.
• Conduct in-depth cost analyses of warehousing, transportation, procurement, leases, labor, and consumables.
• Develop cost optimization plans with objectives, milestones, and ownership.
• Collaborate with Procurement, Network Planning, Operations, and Finance to implement initiatives.
• Track results, report savings, and share best practices.

Skills

Data analysis

Cross-functional communication

Project management

Excel

SQL

Power BI

Tableau

Education

Bachelor's degree or higher in a related field

Tools

SQL

Power BI

Tableau

Job description

JINGDONG Logistics is seeking a Cost Analysis & Optimization Specialist based in Fontana, Chino, or City of Industry, California. The role pays $70,000–$100,000 USD annually plus an annual performance bonus, with opportunity to impact warehousing, transportation, procurement, and labor costs.

The ideal candidate will analyze cost data, define data governance, and drive cross-functional cost-improvement initiatives across logistics operations, using Excel, SQL, Power BI, and Tableau.