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Mid-level generalist analytics role, metro location, and broad skillset increases applicant competition.
Analytics skills are transferable but logistics ERP/TMS/WMS domain knowledge raises fit sensitivity to medium.
Explicit 2–5 years plus mandatory SQL/Power BI/Python and logistics domain filters create moderate strictness.
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Drive availability and quality of global logistics data by validating, cleansing, and monitoring datasets integrated into the enterprise data lake.
Develop and enhance dashboards, reports, and analytical models to provide visibility and actionable insights into logistics performance.
Partner cross-functionally to deliver trusted metrics and timely, data-driven analytics solutions aligned with logistics priorities.
Bachelor’s degree in Supply Chain, Logistics, Industrial Engineering, Computer Science, Data/Analytics, Statistics, Business, or related field.
2–5 years of experience in logistics, transportation, supply chain, or data analytics.
Experience with data visualization (Power BI, Tableau) and data manipulation tools (SQL, Excel, Python).
Hybrid work requirement: Onsite at least Mondays, Tuesdays, and Thursdays at Rockwell location.
Strong technical skills to translate end-to-end logistics business requirements into scalable analytics solutions.
Experience supporting logistics or end-to-end supply chain analytics initiatives including transportation, fulfillment, or trade compliance.
Ability to influence stakeholders and drive impact through effective data storytelling and continuous reporting improvement.