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Key job responsibilities• Design and develop end-to-end analytics solutions to monitor and optimize supply chain metrics, including and not limited to availability, placement, inventory efficiency and capacity planning & management at various business hierarchies.
• Create interactive dashboards and automated reporting systems to enable deep-dive analysis of inventory performance across multiple dimensions (ASIN/GL/Sub-category/LOB/Brand level).
• Build predictive models for seasonal demand forecasting and inventory planning, supporting critical business events and promotions.
• Create scalable solutions for tracking deal inventory readiness for small events and channel share management.
• Partner with category & business stakeholders to identify opportunities for process automation and innovation.A day in the life
• Pioneering new analytical approaches and establishing best practices.
• Building solutions from the ground up with significant autonomy.
• Driving innovation in supply chain analytics through automation and advanced analytics.
• Making a direct impact on business performance through data-driven decision making.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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