About the role
Logistics Data Analyst
Why join Aptiv? You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of the world’s leading automotive brands. See your work come to life on the road—helping make mobility safer, greener, and more connected. Ready to shape the future of mobility with us? YOUR ROLE Support data-driven decision-making in global logistics and international trade by analyzing operational data, building reports, and identifying opportunities to improve efficiency, cost, and compliance. In your daily job you will: Analyze logistics, transportation, and customs data to identify trends, delays, and cost drivers Monitor key KPIs such as lead time, OTIF, freight cost, and clearance times Perform root cause analysis on delays, service failures, and cost overruns Build and maintain dashboards and reports for operational and management use Translate data into clear insights to support decision-making Extract, clean, validate, and manage data from ERP, TMS, and external sources Ensure data accuracy and consistency across systems and reports Identify opportunities to improve processes and automate reporting tasks Support data-driven optimization of routes, inventory, and logistics costs Collaborate with cross-functional teams (logistics, trade, procurement, finance) Provide analytical support for global trade, compliance, and audits Monitor import/export data, tariffs, and regulatory impacts Track shipments and highlight risks or delays using data insights Support carrier performance analysis and operational issue resolution Continuously improve technical and analytical skills (SQL, BI tools, etc.) Handle ad hoc data requests and support operational and strategic initiatives YOUR BACKGROUND Key skills and competencies for succeeding in this role are: Completed bachelor's degree Advanced English (written and spoken) +1 years of experience in logistics, supply chain, data analysis, or global trade environments Strong analytical skills with experience handling large datasets Advanced Excel skills (e.g., pivot tables, VLOOKUP, data analysis) Experience with BI tools such as Power BI, Tableau, or similar Familiarity with ERP and/or TMS systems (e.g., SAP, Oracle) Basic to intermediate knowledge of SQL (Python is a plus) Understanding of logistics KPIs (lead time, OTIF, transportation costs, etc.) Knowledge of import/export processes, customs, and trade compliance concepts is a plus Experience in data cleaning, validation, and reporting standardization Strong attention to detail and problem-solving skills Ability to translate data into actionable insights for business stakeholders
