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Process Engineer - Data Analytics

Duncan, SC, US • Posted 30+ days ago • Updated 4 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Telecommunications
Optical Fiber
Cabling
Professional Development
Training
Life Insurance
Reporting
Process Improvement
Layout
Optimization
Production Engineering
Leadership
Streaming
Scheduling
KPI
Management
Mentorship
Manufacturing Engineering
Microsoft Excel
SQL
Microsoft Power BI
Manufacturing
Python
Data Analysis
Problem Solving
Conflict Resolution
FOCUS
Analytical Skill
Critical Thinking
Mechanical Engineering
Machining
Communication
Collaboration
Teamwork
Continuous Improvement

Telecommunications
Optical Fiber
Cabling
Professional Development
Training
Life Insurance
Reporting
Process Improvement
Layout
Optimization
Production Engineering
Leadership
Streaming
Scheduling
KPI
Management
Mentorship
Manufacturing Engineering
Microsoft Excel
SQL
Microsoft Power BI
Manufacturing
Python
Data Analysis
Problem Solving
Conflict Resolution
FOCUS
Analytical Skill
Critical Thinking
Mechanical Engineering
Machining
Communication
Collaboration
Teamwork
Continuous Improvement

Summary

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $3B in revenue, and employ approximately 13,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.

What We Offer:

Flexible time off policy
401K Company match (up to 4% - dollar for dollar)
Professional development, training, and tuition reimbursement programs
Excellent medical, dental, vision, and life insurance policy options
Opportunities for career advance with an industry leading company!

Responsibilities

Build and maintain data-driven tools and reporting to support production and engineering decisions
Analyze high-mix manufacturing data to identify:
- Bottlenecks
- Flow constraints
- Capacity issues
- Improvement opportunities
Provide forward-looking insights to help engineering stay ahead of demand shifts
Improve production visibility and responsiveness in a constantly changing environment
Support process improvements, layout changes, and flow optimization
Work cross-functionally with production, engineering, and leadership
Update legacy manufacturing processes to support current market trends and increasing production demands.
Observe operations with a critical eye, collect trustworthy data, and build clean data streams to support process standards, corrections, new ground level scheduling efforts, operations capacity and loading understanding, and increase capacity.
Use engineering expertise, objective analysis, and professional judgment to improve, create, and sustain high performing processes capable of handling high mix.
Develop tools and systems to track performance and ensure immediate and long-term success.
Support new plantwide scheduling initiatives by developing tools and processes to properly load and synchronize operations.
Analyze actual vs. realized capacity and implement strategies to close performance gaps.
Focus operations on key performance indicators to drive measurable growth and continuous improvement.
Design, launch, and track meaningful manufacturing KPIs.
Train operations teams to understand and manage performance using data and metrics.
Actively contribute to a respectful, high-functioning team culture.
Build strong relationships across departments to foster collaboration and shared ownership.
Serve as a technical partner and mentor to peers and operations staff.

Qualifications

Bachelor's degree in mechanical, industrial, or manufacturing engineering (or related field).
2-3 years of experience in high-volume manufacturing environments preferred.
Strong data analytics capability (core requirement); Proficiency in data analysis tools (Excel, SQL, Power BI, etc.) and manufacturing software.
Python experience preferred (data analysis, automation, or tool development)
Ability to operate effectively in a fast-changing, low-structure environment
Strong problem-solving skills with a focus on practical, actionable outcomes
Exceptional analytical and critical thinking skills.
Strong mechanical aptitude and understanding of machining principles.
Demonstrated ability to lead projects and drive change through influence and expertise.
Excellent communication and interpersonal skills.
Passion for teamwork, continuous improvement, and building a collaborative culture.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10192580
Position Id: 938e0bb49779c4f50a035b63e9f5ce0
Posted 30+ days ago

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