Global Logistics Data Analytics Analyst
Rockwell AutomationMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level generalist analytics role, metro location, and broad toolset attract many qualified applicants.
Strong logistics/supply-chain focus increases domain specificity, though core data skills remain transferable.
Explicit 2–5 years requirement plus logistics domain experience and required SQL/PowerBI/Python skills.
Job Description
Structured overview of role & requirementsAbout This Role
Manage and ensure quality and availability of global logistics data, including validation and cleansing, to support enterprise data lake integration.
Develop, maintain, and enhance dashboards, reports, and analytical models that provide visibility into logistics performance metrics.
Translate business logistics requirements into scalable data models and analytics solutions, partnering with cross-functional teams to deliver trusted decision-making insights.
Minimum Requirements
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 (e.g., Power BI, Tableau) and data manipulation tools (e.g., SQL, Excel, Python).
Advanced English communication skills in a global cross-functional environment.
Ideal Candidate Profile
Experience in end-to-end logistics or supply chain analytics including transportation, fulfillment, or trade compliance.
Familiarity with global data governance, KPI standardization, and data quality management.
Comfortable working in hybrid model with ability to partner across operations, analytics, and IT teams for scalable analytics delivery.