Global Manufacturing IT & OT Systems Innovator

Danfoss; City of Utica (NY); On-site; USD 85,000 - 125,000; Full time

Job summary

Danfoss in Utica, NY is seeking an Analyst, MFG Services Build Delivery to link IT infrastructure with shop-floor systems. You will implement MES and automation solutions and support global manufacturing sites, traveling as needed to lead project implementations.

You will help improve safety, quality and productivity, while building a sustainable and competitive operation through data-driven manufacturing processes.

Qualifications

• Bachelor's degree preferred; equivalent experience considered.
• 4+ years IT experience directly supporting manufacturing and shop floor systems.
• Strong understanding of the manufacturing execution layer incl. ISA‑95 and ITIL.
• Experience with SQL databases and SSRS reporting; programming in C#, VB.Net or Python advantageous.
• Experience with IT hardware, networking, and operating systems.
• Willingness to travel internationally up to 40 days per year.

Responsibilities

• Act as a key player in integrating core manufacturing systems (MES, HMI, ERP) for a data-driven production environment.
• Provide hands-on and remote IT support for manufacturing sites worldwide, ensuring systems run smoothly.
• Serve as technical expert for factory teams, troubleshooting issues and delivering innovative solutions.
• Develop and share best practices for manufacturing IT systems with clear docs and training.
• Participate in a follow-the-sun support model, collaborating with a global team on projects and implementations.

Skills

SQL

SSRS

C#

VB.Net

Python

Azure DevOps

ITIL

ISA-95

Education

Bachelor's degree in Manufacturing or IT

Tools

Azure DevOps

Job description

Danfoss in Utica, NY is seeking an Analyst, MFG Services Build Delivery to link IT infrastructure with shop-floor systems. You will implement MES and automation solutions and support global manufacturing sites, traveling as needed to lead project implementations.

You will help improve safety, quality and productivity, while building a sustainable and competitive operation through data-driven manufacturing processes.