Internship: Data & AI Reporting Analyst (Trade Data)

We are looking for a highly motivated Data & AI Reporting Analyst Intern to strengthen our Trade Data team. This role is designed for someone who can work confidently with fragmented, non-standard data from multiple systems and apply AI, automation, and data science techniques to create accurate reports, insights, and process improvements.

Your role:

• Integrate and prepare data from ERP, SAP GTS, TMS, customs brokers, and government systems—often in different formats (Excel, CSV, PDFs, broker templates, EDI extracts).
• Use AI tools to automate data cleaning, pattern detection, reconciliation, and report generation.
• Support development of analytics dashboards and KPI reports using Power BI, Tableau, or Python-based analysis.
• Apply data science thinking to identify trends, inconsistencies, and compliance risks across import/export operations.
• Build and document data pipelines, mapping logic, and automated workflows to support digital customs processes.
• Contribute to automation initiatives focused on improving data accuracy, reducing manual work, and strengthening compliance controls.

You're the right fit if:

• Currently studying Data Science, Data Analytics, Computer Science, Supply Chain, International Trade, or similar.
• Strong analytical mindset with hands-on experience in working with messy, unstructured data.
• Proficiency in AI tools, prompt engineering, and the ability to apply LLMs for data transformation, text extraction, and reporting tasks.
• Foundational knowledge of data science or programming (Power Query, SQL, Python, or R).
• Experience or interest in building dashboards (Power BI, Tableau, etc.).
• High attention to detail and an eagerness to learn global customs and trade compliance processes.
• Curiosity and a proactive attitude toward digitalization and automation.

What You Will Learn:

• Practical use of AI in compliance, data transformation, and operational automation.
• SAP GTS fundamentals, customs declarations, trade compliance workflows.
• Root-cause analysis and compliance risk identification using analytics.
• How modern trade compliance teams operate in a data-driven environment.

About Philips

We are a health technology company.