Staff Process Engineer – Hot Rolling & Data Analytics

Arconic; Davenport (IA); On-site; USD 110,000 - 140,000; Full time

Job summary

Arconic seeks a Staff Process Engineer to join the Hot Rolling Team in Davenport, IA. The role blends process knowledge with hands-on problem solving and data analysis to diagnose and resolve complex rolling process issues.

You’ll collect and visualize large datasets, perform root cause analysis, and implement durable improvements to machine reliability and product quality. You will work with operations, quality, maintenance, and engineering teams, use advanced analytics, and stay current with

Qualifications

• Bachelor's degree in engineering (Electrical/Mechanical/Chemical/Metallurgical).
• 5+ years engineering experience with problem solving and data analysis.
• Proficient in collecting, cleaning, and analyzing large datasets; strong visualization skills.
• Proficient with MS Office; familiarity with Statistical Analysis Tools (Minitab, Jmp).
• Excellent communication and cross-functional collaboration abilities.

Responsibilities

• Collect, clean, analyze, and visualize large datasets to reveal trends and insights.
• Implement process and quality improvements to reach plant goals.
• Partner with production, operations, quality, maintenance, and engineering teams to solve challenges.
• Conduct root cause analysis and develop long-term solutions for critical issues.
• Monitor KPIs and identify opportunities for continuous improvement.
• Stay ahead of best practices and introduce new technologies to improve reliability.
• Apply process and statistical modeling to data-based problem solving.

Skills

Problem solving

Analytical skills

Data analysis

Communication skills

Interpersonal skills

Leadership

Decision making

Education

Bachelor's degree in Electrical, Mechanical, Chemical, or Metallurgical Engineering

Tools

Minitab

Jmp

Power BI

R

PI Datalink

Job description

Arconic seeks a Staff Process Engineer to join the Hot Rolling Team in Davenport, IA. The role blends process knowledge with hands-on problem solving and data analysis to diagnose and resolve complex rolling process issues.

You’ll collect and visualize large datasets, perform root cause analysis, and implement durable improvements to machine reliability and product quality. You will work with operations, quality, maintenance, and engineering teams, use advanced analytics, and stay current with