Job Description:
- Support improvement initiatives for consignment business processes, especially within Modern Trade channels.
- Optimize end-to-end consignment workflow (Order to Cash), including SOPs, roles & responsibilities, and account agreements.
- Drive enhancements in consignment master data and sell-in/sell-out data integration with account systems and POS platforms.
- Improve stock management effectiveness and efficiency across consignment channels.
- Build and maintain integrated dashboards to monitor store performance and compliance (e.g., iSeller, auto-replenishment, inventory control).
- Troubleshoot API and POS issues related to consignment operations and support field execution teams.
- Collaborate with key stakeholders (marketing, commercial, IT, operations) to enable process automation, transparency, and scalability.
- Identify risks in consignment operations and implement mitigation strategies, including fraud prevention.
- Explore and unlock opportunities to grow the consignment business through data analysis and operational transformation
Requirements:
- Bachelor's degree, related to Data analysis
- Minimum 1 year of experience in process transformation, supply chain operations, retail business, analyst data, or a related role.
- Background in supply chain, logistics, or inventory management is highly preferred.
- Experience in data processing and visualization (e.g., Tableau, Python).
- Skilled in building dashboards and using data for gap analysis and process improvement.
- Strong analytical and business thinking capabilities.
- Excellent communication and interpersonal skills; able to coordinate with operational and area teams.
- Comfortable working in a dynamic and fast-paced environment.