Data-Driven Process Engineer - High-Mix Manufacturing

AFL; Duncan (SC); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Flexible time off policy

401K Company match (up to 4%)

Professional development programs

Excellent medical, dental, vision, and life insurance options

Job summary

AFL, located in South Carolina, is seeking a talented professional to build data-driven tools supporting production decisions in high-volume manufacturing. The ideal candidate will hold a Bachelor’s in engineering and possess strong data analytics skills.

Join a collaborative team focused on continuous improvement where you will analyze manufacturing data and lead process enhancements. The role requires technical expertise combined with excellent communication skills, and you'll work cross-functionally to drive measurable growth.

Qualifications

• 2-3 years of experience in high-volume manufacturing environments preferred.
• Ability to operate effectively in a fast-changing, low-structure environment.
• Demonstrated ability to lead projects and drive change.

Responsibilities

• Build and maintain data-driven tools and reporting.
• Analyze manufacturing data to identify bottlenecks and flow constraints.
• Update legacy manufacturing processes to support current market trends.

Skills

Data analytics capability

Proficiency in Excel

Proficiency in SQL

Proficiency in Power BI

Python experience

Strong problem-solving skills

Exceptional analytical and critical thinking skills

Mechanical aptitude

Excellent communication skills

Education

Bachelor’s degree in mechanical, industrial, or manufacturing engineering

Tools

Manufacturing software

Job description

AFL, located in South Carolina, is seeking a talented professional to build data-driven tools supporting production decisions in high-volume manufacturing. The ideal candidate will hold a Bachelor’s in engineering and possess strong data analytics skills.

Join a collaborative team focused on continuous improvement where you will analyze manufacturing data and lead process enhancements. The role requires technical expertise combined with excellent communication skills, and you'll work cross-functionally to drive measurable growth.