Data Analytics Graduate Internship: AI-Driven BI Automations

Philips

Amsterdam

On-site

EUR 5,600 - 7,800

Full time

13 hours ago
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Benefits offered by this job

Housing compensation
Travel compensation
Paid holidays
Philips shop product access

Job summary

Philips Amsterdam is offering a Data Analytics Graduate Internship starting October 2026 for at least 6 months. You will map and analyze large datasets, build AI-driven automations to support data-driven decisions, and improve business intelligence uptake among stakeholders.

You should be a University Master student in data science/analytics with experience in Qlikview/Qliksense and/or Power BI and SQL, plus strong Excel/PowerPoint skills and an interest in AI optimization.

Qualifications

  • Master's student studying data science or analytics
  • Experience with data analytics, statistical methods and predictive analytics
  • Proven experience with data dashboards and reporting tools (Qlikview/Qliksense, Power BI)
  • SQL proficiency and advanced Excel/PowerPoint skills

Responsibilities

  • Merge, Map and organize large internal and external data sets
  • Analyze and build AI automations within large data sets
  • Support interpretation and commercialization of data for strategy and sales decisions
  • Assist in global marketing planning data input
  • Compile weekly reports from competitive industry news using AI

Skills

Data analytics
Statistical methods
Predictive analytics
AI optimization tools
Large datasets handling

Education

Master's student in data science/analytics

Tools

Qlikview/Qliksense
Power BI
SQL
Microsoft Excel
PowerPoint

Job description

Philips Amsterdam is offering a Data Analytics Graduate Internship starting October 2026 for at least 6 months. You will map and analyze large datasets, build AI-driven automations to support data-driven decisions, and improve business intelligence uptake among stakeholders.

You should be a University Master student in data science/analytics with experience in Qlikview/Qliksense and/or Power BI and SQL, plus strong Excel/PowerPoint skills and an interest in AI optimization.

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