Student Product Manager: Market Intelligence & Analytics

ROCKWOOL International A/S; Hedehusene; On-site; DKK 220,000 - 241,000; Full time

Benefits offered by this job

Health insurance

Transport allowance

On-site fitness

Canteen

Societies

Christmas gift

Job summary

ROCKWOOL is seeking a Student Assistant in Hedehusene to support the Product Management team with market intelligence and business analytics. You will work closely with commercial and technical stakeholders across the organisation, translating insights into recommendations for product development and GTM decisions.

The role focuses on Product Information Management (PIM), data quality, and delivering dashboards. It offers hands-on learning while balancing ~15–20 hours per week with your studies.

Qualifications

• PIM systems experience or strong motivation to develop in this area.
• Strong analytical skills with data-driven storytelling.
• Structured, detail-oriented with focus on data quality and accuracy.

Responsibilities

• Support market intelligence, business analytics and PIM activities for product management.
• Analyze market trends and translate data into actionable recommendations.
• Prepare presentations, dashboards and reports for internal stakeholders.
• Maintain and enrich product data across PIM tools and channels.
• Collaborate with colleagues across functions and countries to drive initiatives.

Skills

Excel proficiency

Data visualization

BI tools

English communication

Analytical thinking

Education

Bachelor’s or Master’s in business analytics / engineering focus on product and business

Tools

PIM systems

Product data management

Job description

ROCKWOOL is seeking a Student Assistant in Hedehusene to support the Product Management team with market intelligence and business analytics. You will work closely with commercial and technical stakeholders across the organisation, translating insights into recommendations for product development and GTM decisions.

The role focuses on Product Information Management (PIM), data quality, and delivering dashboards. It offers hands-on learning while balancing ~15–20 hours per week with your studies.