Staff Process Engineer – Hot Rolling & Data Analytics

Socket.dev; Pleasant Valley Township (IA); On-site; USD 90,000 - 120,000; Full time

Job summary

Arconic is seeking a Staff Process Engineer for the Hot Rolling Team based in Davenport, IA. You will integrate process knowledge with data analysis to diagnose issues using cameras, sensors, data historians, and operator input.

You will collect, clean, analyze, and visualize large datasets to uncover trends, implement process improvements, and partner across production, operations, quality, maintenance, and engineering to solve complex challenges.

Qualifications

• Bachelor's degree in Electrical, Mechanical, Chemical, or Metallurgical Engineering.
• 5+ years of engineering experience with diagnosing processes.
• 11
• Excellent problem solving and analytical skills to resolve complex issues.
• Proficient in collecting, cleaning, analyzing, and visualizing large datasets.
• Strong communication and cross-functional collaboration abilities.

Responsibilities

• Collect, clean, analyze, and provide visualization of large datasets to uncover trends and insights.
• Implement process and quality improvements to meet plant goals.
• Partner with production, operations, quality, maintenance, and engineering teams to solve challenges.
• Conduct root cause analysis (RCA) and develop long-term solutions.
• Monitor key performance metrics and drive continuous improvement.
• Stay ahead of industry practices and introduce new technologies to enhance reliability.
• Apply process and statistical modeling to data analysis for problem solving.

Skills

Data analysis

Root cause analysis

Problem solving

Statistical analysis

Visualization

Cross-functional collaboration

Communication

Team collaboration

Education

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

Tools

Minitab

JMP

Power BI

R

PI Historian

PI Datalink

Job description

Arconic is seeking a Staff Process Engineer for the Hot Rolling Team based in Davenport, IA. You will integrate process knowledge with data analysis to diagnose issues using cameras, sensors, data historians, and operator input.

You will collect, clean, analyze, and visualize large datasets to uncover trends, implement process improvements, and partner across production, operations, quality, maintenance, and engineering to solve complex challenges.