In-Stock Manager, In Stock Management (IN Project Tez)

Job description

from Amazon careers

Work as a brand/seller POC to ensure regular inventory replenishment and input metrics. Hand-hold multiple brands by supporting on inventory inbound. Work with Ops stakeholders to troubleshoot inbound issues. Primary contact for any brand escalation on catalogue/inventory/operations-related issues.

Key job responsibilities
Ops/Vendor Support: Assist vendors in navigating and utilizing Amazon systems, tools, and processes, ensuring a seamless experience while improving their operational capabilities.

In-Stock Planning & Demand Forecasting: Own end-to-end in-stock planning for assigned categories; execute demand planning using Excel templates and Python-based automation to drive forecast accuracy, reduce out-of-stock instances, and optimize replenishment cycles across the network.

Python & Data Analytics: Leverage Python (pandas, NumPy, and related libraries) to automate demand planning workflows, build inventory health dashboards, analyze sell-through trends, and generate actionable insights for replenishment decisions.

Training and Error Resolution: Provide training to vendors on catalog content, PO management, and shipment processes, while identifying and correcting errors; maintain accurate records of tasks performed.

Process Improvement: Take ownership of process improvement initiatives, identifying areas for operational efficiency through data-driven analysis and automation; actively participate in stakeholder meetings and calls.

Communication and Coordination: Maintain strong communication with both internal and external stakeholders; manage vendor relationships through face-to-face interactions and handle escalations or updates.

Multi-tasking and Problem-solving: Operate efficiently in a fast-paced environment, handling multiple tasks; address issues proactively and demonstrate a passion for operational excellence.

Basic Qualifications

- Bachelor's degree, or Master's degree in supply chain management, operations, engineering, analytics or related field

Preferred Qualifications

- Experience in in-stock planning, demand forecasting, or supply chain management within e-commerce/retail
- Proficiency in Python (pandas, NumPy, data manipulation, and automation scripting)
- Strong working knowledge of Excel/Google Sheets for demand planning templates and reporting
- Ability to analyze large datasets to derive inventory health metrics and replenishment signals
- Strong verbal and written communication skills with the ability to manage vendor relationships

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