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Strong employer brand plus a mid-level, generalist data analyst role and metro hiring increase candidate competition.
Role requires logistics and supply chain domain knowledge, making cross-industry transferability limited and domain-sensitive.
Mandatory 5+ years, logistics domain knowledge, and SQL/data governance requirements create moderately strict shortlisting.
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Bridge business operations and technology teams to structure, govern, and deliver logistics and supply chain data across the enterprise.
Design, maintain, and enhance logistics data models and document data requirements, definitions, and business rules across systems.
Lead data validation, reconciliation, root cause analysis, and support data governance and master data management initiatives.
Bachelor's degree in Information Systems, Computer Science, Supply Chain, Engineering, Business Analytics, or related discipline.
5+ years experience in data analysis, business analysis, data modeling, or supply chain systems roles.
Strong SQL and relational database skills mandatory.
Experience required in logistics, transportation, warehouse management, inventory management, or supply chain processes.
Deep understanding of logistics, transportation, warehouse, and supply chain operational processes.
Expertise in data modeling, mapping, validation, and ability to translate business requirements into system requirements.
Skilled at facilitating alignment between business and IT stakeholders and managing cross-functional collaboration.