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.

Start Date: September 2026

Duration: at least 6 months

Type: Internship (thesis possible)

Please keep in mind that you need to be officially enrolled at the university for the whole internship duration!

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.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve.