Intern - Logistics Data Analyst
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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular entry-level data role, multinational employer, metro hiring, and broad skill requirements increase candidate density.
Core analytics skills transfer across industries, but logistics, SAP, and supply-chain experience increase role-specific fit.
Requires current student status plus Power BI and SQL skills, creating moderately strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Support creation and maintenance of Logistics KPI dashboards and reports using Power BI to drive operational insights.
Analyze global transport, warehouse, and supply chain data to identify trends and process improvement opportunities.
Assist in data preparation, quality assurance, documentation, and project management for global logistics digitalization initiatives including AI and process mining.
Minimum Requirements
Currently pursuing Bachelor’s or Master’s degree in Computer Science, IT, Data Science, Business Analytics, Industrial Engineering, Supply Chain Management, or related fields.
Preferred skills include advanced Microsoft Excel, Power BI, SQL, and experience with data analytics and reporting tools.
Work Experience Required: Not explicitly mentioned in the JD.
Knowledge of Python, SAP Logistics modules (EWM, TM, ERP, S/4HANA), Snowflake, Process Mining (e.g. Celonis), and AI/ML fundamentals is a plus but not mandatory.
Ideal Candidate Profile
Comfortable working in an international, cross-functional team environment collaborating with business and IT stakeholders.
Strong analytical orientation with hands-on involvement in data modeling, dashboarding, and reporting processes.
Eager to gain experience in global logistics digitalization programs and related analytics platform ecosystems.