Demand Planning Intern: Forecast Analytics & AI Tools

HB Fuller

Saint Paul (MN)

On-site

USD 30,000 - 34,000

Full time

5 days ago
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Benefits offered by this job

Paid internship (12 weeks)
Benefits
401K contributions
Paid time off
Holidays

Job summary

H.B. Fuller is offering a paid Demand Planning Intern role in Saint Paul, MN. You will support the demand planning team by improving forecast visibility, reporting accuracy, and data-driven decision-making through data analytics, Power BI, and AI tools.

You will collaborate with demand planners and cross-functional partners to analyze trends, customer and product patterns, and forecast performance. The internship runs 12 weeks with an end-of-summer presentation and opportunities for future roles.

Qualifications

  • Currently pursuing a bachelor's degree in a related field with interest in demand planning and analytics.
  • Experience with Excel and data visualization tools is required; exposure to Power BI, SQL, or Python is preferred.
  • Strong analytical mindset and ability to translate data into actionable insights.

Responsibilities

  • Analyze demand planning data to identify trends and forecast gaps.
  • Develop and enhance Power BI dashboards to show demand trends and key metrics.
  • Clean and validate data from multiple sources for accurate reporting.
  • Identify opportunities to automate recurring reports and forecasting reviews.
  • Apply AI concepts to explore practical use cases in demand signal analysis and forecasting.

Skills

Excel
Power BI
Data visualization
SQL
Python

Education

Bachelor's degree in Data Analytics / related field

Tools

Power BI
SQL
Python

Job description

H.B. Fuller is offering a paid Demand Planning Intern role in Saint Paul, MN. You will support the demand planning team by improving forecast visibility, reporting accuracy, and data-driven decision-making through data analytics, Power BI, and AI tools.

You will collaborate with demand planners and cross-functional partners to analyze trends, customer and product patterns, and forecast performance. The internship runs 12 weeks with an end-of-summer presentation and opportunities for future roles.

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