Data & AI Reporting Analyst Intern (Customs Compliance)

Job Title

Data & AI Reporting Analyst Intern (Customs Compliance)

Job Description

Start Date: as soon as possible

Duration: at least 6 months

Type: Internship (thesis possible)

Weekly Presence: 40h (minimum 32h)

Location: Best

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

Data & AI Reporting Analyst Intern (Customs Compliance)

We are looking for a highly motivated Data & AI Reporting Analyst Intern 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.

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.

Monthly full-time allowance between €500 - €700 gross, depending on your education level. If you need to relocate to The Netherlands specifically for the internship there will be a different allowance. Part-time internships receive the allowance pro-rata. 

Housing compensation, in case of relocating to the vicinity of the office, €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. To be eligible, your usual home-work travel distance needs to be more than 50 km or 1.5 hours of travel time (one way). Afterwards, you need to provide the rental contract from your (new) landlord.

Travel compensation, if you are not eligible for a free public transport (OV chipkaart - student travel product); you can receive max. €192,- net depending on your location. Paid holidays per internship term.

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. Do the work of your life to help the lives of others.

• Learn more about our business.

• Discover our rich and exciting history.

• Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.

#LI-OFFICE