Engineering Data Technician

OFS; Huntingburg (IN); On-site; USD 55,000 - 75,000; Full time

Job summary

OFS is seeking an Engineering Data Technician to manage core data for our furniture engineering and manufacturing. You will collaborate with cross-functional teams to create, audit, and maintain accurate product data systems that keep production running smoothly.

The role focuses on ERP data creation, BOMs, routings, and data automation, requiring attention to detail and analytical thinking. Experience with Excel and ERP systems will help support continuous improvement initiatives on-site in

Qualifications

• Must be detail-oriented and analytical.
• Willingness to learn new processes and software.
• Adaptable to change.
• Experience in Excel, Google Docs & Sheets preferred.
• Familiarity with Oracle, SAP, or similar ERP system desired.

Responsibilities

• Create component parts, bills of materials, and routings in ERP system.
• Collaborate with other departments to support engineer-to-order process.
• Control data to ensure standards are met and maintained.
• Communicate with manufacturing facilities to troubleshoot and support continuous improvement initiatives.
• Implement data automation projects.

Skills

Detail-oriented

Analytical

Learning mindset

Adaptable

Tools

Excel

Google Docs & Sheets

Oracle

SAP

Job description

OFS is seeking an Engineering Data Technician to manage the core data driving our furniture engineering and manufacturing. This position will collaborate with cross-functional teams to create, audit, and maintain accurate product data systems that keep production running smoothly.

ESSENTIAL FUNCTIONS

Responsibilities will include but not be limited to the following:

• Create component parts, bills of materials, and routings in ERP system
• Collaborate with other departments to support engineer-to-order process
• Control data to ensure standards are met and maintained
• Communicate with manufacturing facilities to troubleshoot and support continuous improvement initiatives
• Implement data automation projects

QUALIFICATIONS

• Highly detail-oriented and analytical
• Desire for learning new processes and software
• Adaptable to change
• Experience in Excel, Google Docs & Sheets preferred
• Familiarity with Oracle, SAP, or similar ERP system desired