Process Engineer - Data Analytics

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. Experience with high mix

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.