Global Customer Insights Intern: Data Dashboards

Versuni

Amsterdam

Hybrid

EUR 13,392 - 20,088

Full time

14 days+

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Job summary

Versuni is seeking a Global Customer Care Intern to join the Voice of Consumer (VOC) team in Amsterdam. This hybrid role combines data analytics with business thinking to create dashboards, reports and analyses that uncover insights and support decision-making.

Duration: 6–12 months, 40 hours per week, starting 1 September 2026. You will collaborate with global stakeholders, translate data into visualizations, and help answer key business questions with data-driven analysis, while strengthening

Qualifications

  • Currently enrolled in a Bachelor's or Master's programme in a related field.
  • Experience with reporting, dashboarding or data visualization tools.
  • Familiarity with Power BI is a plus; other tools welcome.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Support the development and maintenance of dashboards and reports using consumer and business data.
  • Analyze trends and generate actionable insights for business stakeholders.
  • Translate complex datasets into clear visualizations and recommendations.
  • Collaborate with the Voice of Consumer team to improve reporting and insight generation.
  • Help answer key business questions through data-driven analysis.

Skills

Analytical skills
Problem-solving
Communication skills
English fluency

Education

Bachelor's/Master's in Business Analytics/Data Science/Business Admin/Economics/Statistics

Tools

Power BI
Reporting tools
Dashboarding

Job description

Versuni is seeking a Global Customer Care Intern to join the Voice of Consumer (VOC) team in Amsterdam. This hybrid role combines data analytics with business thinking to create dashboards, reports and analyses that uncover insights and support decision-making.

Duration: 6–12 months, 40 hours per week, starting 1 September 2026. You will collaborate with global stakeholders, translate data into visualizations, and help answer key business questions with data-driven analysis, while strengthening

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