Forecasting & Tooling Analytics Intern

Frencken Machining B.V. (Eindhoven)

Eindhoven

On-site

EUR 5,580 - 11,160

Full time

14 days+

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Benefits offered by this job

Hands-on experience with real data
Exposure to business intelligence methodologies
Collaboration with engineering and production teams

Job summary

Frencken Machining B.V. (Eindhoven) is offering a graduation internship focused on tooling consumption analysis and forecasting. Interns will analyze production data, develop PowerBI dashboards, and identify improvements to forecasting accuracy.

Students in Data Analytics or related fields are encouraged to apply. This 6-month internship will provide hands-on experience with real manufacturing data and collaboration with various teams.

Qualifications

  • Students in Data Analytics, Artificial Intelligence, Business Analytics, Industrial Engineering, or Operations Management.
  • Experience or interest in PowerBI and data analysis.
  • Strong analytical and problem‑solving skills.
  • Proactive and results‑driven mindset.

Responsibilities

  • Analyze tooling consumption data from production systems.
  • Develop PowerBI dashboards and reports to visualize performance and trend.
  • Connect and interpret data from Coscom and Glovia.
  • Identify opportunities to improve forecasting accuracy.
  • Create predictive models to support tooling consumption planning.

Skills

Data analytics
Business intelligence
Process optimization
PowerBI
Analytical skills
Problem-solving

Education

HBO or WO in Data Analytics, AI, Business Analytics, Industrial Engineering, or Operations Management

Tools

PowerBI
Coscom
Glovia

Job description

Frencken Machining B.V. (Eindhoven) is offering a graduation internship focused on tooling consumption analysis and forecasting. Interns will analyze production data, develop PowerBI dashboards, and identify improvements to forecasting accuracy.

Students in Data Analytics or related fields are encouraged to apply. This 6-month internship will provide hands-on experience with real manufacturing data and collaboration with various teams.

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