Data Analyst, Distribution Science
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About The Position
As a Distribution Science Data Analyst, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Data Modeling: Design and develop data models to support supply chain operations, including inventory management, demand forecasting, and logistics. Data Analysis: Analyze large and complex data sets to identify trends, patterns, and insights that can improve supply chain efficiency. Collaboration: Work closely with supply chain managers, IT teams, and other stakeholders to understand data requirements and ensure data models meet business needs. Data Integration: Integrate data from various sources, including ERP systems, databases, and external data providers, to create comprehensive data models. Reporting: Develop and maintain reports and dashboards to provide real-time insights into supply chain performance. Data Quality: Ensure data accuracy and integrity by implementing data validation and cleansing processes. Optimization: Identify opportunities for process improvements and optimization within the supply chain through data analysis and modeling. Documentation: Create and maintain documentation for data models, processes, and procedures.
