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Specification Analyst

Job Title: Specification Analyst

Location: Dubuque, IA 52001

Job Duration: 2 Years (Possible Extension)

Job Type: Contract

Pay Rate:

Hourly (W2 – SGS Payroll)
Final pay rate will be determined based on your relevant skills, education, experience, and selected benefits package.

Benefits:

Employees are eligible to participate in our comprehensive benefits plan, including:
• Group Health Insurance (Medical, Vision, Dental)
• 401(k) Retirement Plan

Job Description:

Join our team as a Specification Analyst supporting the Product Delivery Process (PDP) in Dubuque, IA.
This is an office-based, task-driven position with a focus on engineering data coordination, product development support, and SAP system updates.

Ideal for detail-oriented candidates with backgrounds in engineering, customer service, or data analysis—including recent graduates eager to develop technical and analytical skills in a collaborative setting.

Work Details:

  • On-site, 40 hours/week
  • Flexible daytime schedule, Monday to Friday
  • No overtime, no weekend work
  • No driving or travel required

Key Responsibilities:

  • Analyze engineering data and update complex part and assembly information in SAP and PDMLink systems
  • Maintain Bills of Material (BOM), material master records, and part attributes for engineering changes
  • Audit and process business requests related to product specifications
  • Act as a liaison and advisor to project teams, ensuring specification accuracy
  • Conduct specification audits and monitor engineering changes for data accuracy and consistency
  • Coordinate cross-functional decisions for inter-factory specification updates
  • Organize and facilitate team meetings, record meeting minutes, and track follow-ups

Skill Set Requirements:

  • High attention to detail, strong organizational and analytical skills
  • Strong willingness to learn new systems and processes
  • Proficiency in data analysis, documentation, and reporting
  • SAP experience is beneficial but not required
  • Background in engineering, customer service, or data analytics is a plus
  • Strong communication and collaboration skills