Dohome Public Company Limited
Inventory Analytics Manager
Skills
1 month ago
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Important information
Contract type:
Permanent
Work mode:
Onsite
Published on:
7 September 2026
What they need
Key Responsibilities
Inventory Analysis & Optimization
- Analyze inventory performance and identify opportunities to improve stock efficiency.
- Monitor inventory levels, stock movements, and inventory turnover.
- Manage and optimize Safety Stock, Reorder Point (ROP), and inventory parameters.
- Identify and recommend actions for excess, slow-moving, and obsolete inventory.
- Support inventory reduction initiatives while maintaining target service levels.
Data Analytics & Reporting
- Develop and maintain inventory dashboards and KPI reports.
- Analyze large datasets from ERP, WMS, and other business systems.
- Provide data-driven recommendations to support supply chain decision-making.
- Present inventory performance reports and insights to management.
Forecasting & Planning Support
- Collaborate with Demand Planning, Procurement, and Operations teams.
- Analyze forecast accuracy and inventory trends.
- Support inventory planning strategies aligned with business demand.
Inventory Control & Process Improvement
- Monitor inventory accuracy and stock reconciliation.
- Support cycle count and annual stock count activities.
- Identify process improvement opportunities and lead inventory-related projects.
- Establish best practices and standard operating procedures for inventory management.
Team Leadership
- Lead and develop Inventory Analysts and related team members.
- Set team objectives, monitor performance, and provide coaching.
- Foster a data-driven culture within the supply chain organization.
Qualifications
Bachelor's degree or higher in Supply Chain Management, Logistics, Industrial Engineering, Business Analytics, Statistics, or related fields.
Minimum 5-8 years of experience in Inventory Management, Supply Chain Analytics, or Logistics.
At least 2 years of team leadership experience.
Experience in Manufacturing, FMCG, Retail, Distribution, or Logistics industries is preferred.
Strong knowledge of Inventory Management principles.
Advanced Microsoft Excel skills.
Experience with Power BI, Tableau, or other BI tools.
Strong SQL skills for data analysis.
Experience with ERP systems (SAP, Oracle, Microsoft Dynamics, etc.).
Knowledge of Demand Planning and Inventory Optimization methodologies.
Experience with WMS systems.
Knowledge of Python, Power Query, or Data Analytics tools.
APICS/CPIM certification is an advantage.
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