Data & AI Reporting Analyst Intern (Customs Compliance)

We are looking for a highly motivated Data & AI Reporting Analyst Intern (Customs Compliance) to strengthen our Customs Compliance 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.

Job description

Start Date: as soon as possible

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, structure, and validate customs and trade compliance data from ERP systems, SAP GTS, customs brokers, logistics providers, and government sources.
• Support the design and execution of automated compliance checks, reconciliations, and monitoring activities using AI and analytics tools.
• Assist in developing dashboards, KPI reporting, and management insights that provide visibility into customs compliance performance and risk indicators.
• Analyse customs data to identify trends, anomalies, process gaps, and opportunities for improving data quality and control effectiveness.
• Help document business rules, control logic, data mappings, and reporting methodologies to support scalable monitoring processes.
• Contribute to digitalization and automation initiatives aimed at strengthening compliance controls, improving transparency, and reducing manual effort.
• Collaborate with customs professionals, business stakeholders, and technical teams to support continuous improvement of compliance reporting and monitoring capabilities.

You're the right fit if:

• Currently pursuing a Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, Supply Chain Management, International Trade, Business Analytics, or a related field.
• Strong analytical and problem-solving skills with an ability to work with complex and unstructured datasets.
• Interest in applying AI, machine learning, or large language models (LLMs) to business and compliance use cases.
• Basic knowledge of data analysis, programming, or automation tools such as Python, SQL, Power Query, Power BI, Tableau, or similar technologies.
• Experience with data visualization and reporting tools is considered an advantage.
• Strong attention to detail and ability to work accurately with governance, compliance, and operational data.
• Excellent communication skills and ability to translate data findings into business insights.
• Self-starter mindset with curiosity, creativity, and an interest in digital transformation and process automation.

What you will learn:

• How global trade and customs compliance organizations utilize data, analytics, and AI to manage risk and support business objectives.
• Practical application of AI technologies for compliance monitoring, data validation, reporting automation, and process improvement.
• SAP GTS fundamentals, customs processes, import/export operations, and compliance control frameworks.
• Dashboard development, KPI design, and data storytelling for management and executive audiences.
• Risk identification, root-cause analysis, and continuous controls monitoring in a multinational environment.
• How to work on large-scale digital transformation initiatives involving compliance, data governance, automation, and business intelligence.
• Collaboration with global stakeholders across customs, logistics, supply chain, finance, IT, and business functions.

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.