Afstuderen Commerciele Economie: Ontwikkelen van een datagedreven QBR-proces

About the role

You will design and implement a professional Quarterly Business Review (QBR) process to improve customer engagement and data-driven decision-making. The role involves creating a structured approach for account managers to prepare for client meetings, including the use of AI for automated reporting and the development of a client portal. Your work will ensure that account managers are well-prepared and that customer feedback is effectively integrated into sales strategies.

Responsibilities

• Design a QBR structure that maps the full customer relationship including revenue, machine performance, and sales opportunities.
• Research the application of AI to automate report preparation for account managers.
• Develop a concept for a client portal allowing customers to review reports prior to meetings.
• Create a prioritization model to determine the frequency and selection of clients for QBRs.
• Ensure feedback from client meetings is integrated back into the cross-sell and up-sell overview.

Required skills

• Data analysis
• Business process design
• AI research
• Customer relationship management

Qualifications

• Bachelor's or Master's degree in Commercial Economics
• Bachelor's or Master's degree in Business IT & Management

Benefits

• Monthly internship allowance
• Travel allowance
• Laptop
• Professional coaching
• Personal development opportunities

About the Company

Voortman Steel Machinery is a global player in CNC steel processing machines, founded in 1968 in Rijssen. With over 750 employees worldwide, the company develops and builds high-end machines, software, and services.