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Generalist mid-level analytics role with broad skills and known employer increases candidate competition.
Strong logistics domain preference but analytics skills are transferable across industries.
Explicit 2–5 years, logistics/data requirement and BI/SQL/Python skills tighten shortlisting.
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Own data quality and availability of global logistics datasets integrated into the enterprise data lake, ensuring clean and validated inputs.
Develop and maintain dashboards, reports, and data models that provide visibility into logistics performance metrics (service, cost, compliance, productivity).
Collaborate with cross-functional teams to deliver analytics solutions aligned to logistics priorities, enabling data-driven operational and strategic decisions.
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.
Proficiency with data visualization tools (Power BI, Tableau), data manipulation tools (SQL, Excel, Python), and logistics ERP systems.
Advanced English communication skills; hybrid work model requiring presence at Rockwell location on Mondays, Tuesdays, and Thursdays.
Experienced in logistics or end-to-end supply chain analytics, including transportation, fulfillment, and trade compliance functions.
Skilled in data governance, KPI standardization, and global data quality management for enterprise analytics.
Able to translate complex logistics processes into scalable analytical solutions and effectively communicate insights to influence business decisions.