Manufacturing Data Analyst - ARG Lamination Dept

Fuyao Glass America Inc.; Moraine (OH); On-site; USD 65,000 - 90,000; Full time

Job summary

Fuyao Glass America Inc. in Moraine, OH seeks a Manufacturing Data Analyst to verify Plex data, standardize operations, and train staff to ensure data accuracy.

You will collect and analyze KPI data, prepare weekly/monthly reports, and develop dashboards for cross-functional teams to monitor yield, OEE, and scrap rates, enabling cost reductions and process improvements.

Qualifications

• Bachelor's degree or higher in a related field.
• More than one year of data analysis experience.
• Proficient in Plex and Excel; familiar with ERP/MES data.

Responsibilities

• Collect, clean, and organize large datasets from multiple systems (ERP, MES, Plex).
• Perform quantitative analysis and build predictive models to identify production trends.
• Generate automated reports and interactive dashboards for cross-functional teams focusing on KPIs (yield, OEE, scrap).
• Conduct root cause analysis on production inefficiencies and quality issues to drive improvements.
• Develop data pipelines and analytics frameworks ensuring data accuracy and scalability.
• Collaborate with production teams and train operators on data collection and dashboard interpretation.

Skills

Data analysis

Problem solving

Communication

Education

Bachelor's degree

Tools

Plex

Excel

SQL

Tableau

Job description

I. Job Profile

Job Title
Manufacturing Data Analyst
Department
ARG Lamination

Direct Supervisor
Lead Supervisor
Direct Subordinates
None

II. Job Summary

1. Verify data in Plex, in charge of correcting and standardizing the Plex operation and provide training to guarantee the accuracy of the system.


2. Collect, analyze, track and supervise the implementation of important data of the department, such as KPI data, weekly reports, monthly reports, handling of overdue inventory, writing of work instructions, etc.

III. Job Functions and Duties

NO.
Representative Duties

1. Collect, clean, and organize large datasets from multiple systems, including ERP (Enterprise Resource Planning), MES (Manufacturing Execution System), sensor networks, and inventory platforms such as Plex.


2. Perform quantitative analysis and build predictive models to uncover trends in production efficiency, material usage, and quality deviations.


3. Generate automated reports and interactive dashboards for cross-functional teams (manufacturing, quality, supply chain, finance), highlighting key performance indicators (KPIs) such as yield, OEE (Overall Equipment Effectiveness), and scrap rates.


4. Conduct root cause analysis on production inefficiencies and quality issues; provide actionable insights that support process improvement and cost reduction initiatives.


5. Utilize statistical software for hypothesis testing, regression analysis, and variance analysis in support of operational decision-making.


6. Apply financial and operational modeling techniques to optimize production scheduling, reduce inventory holding costs, and improve ROI on capital equipment.


7. Develop and maintain data pipelines and analytical frameworks that ensure data accuracy, integrity, and scalability.


8. Collaborate with production teams and train operators and engineers on data collection methods, dashboard interpretation, and continuous improvement practices.


9. Apply financial modeling techniques to evaluate ROI on capital equipment investments and analyze trade-offs in production scheduling, labor allocation, and raw material purchasing strategies.


10. Build operational and financial forecasting models integrating manufacturing KPIs with budgeting and cash flow planning, directly supporting monthly variance analysis and strategic decision-making. Ensure accurate barcode-based packing and inventory tracking, integrating logistics data with financial reconciliation systems to support timely and accurate cost-of-goods-sold (COGS) reporting.


11. Support and hoc financial analysis, including cost-benefit analyses for new process implementations and budgeting impact projections for new production lines.


12. Nothing in the Position Description restricts management's right to assign or re-assign duties and responsibilities to this job at any time.

IⅤ. Qualification

Job Requirements

Language
Languages spoken commonly in the workplace are English and/or Mandarin. - Ability to read, understand and comprehend documents such as safety rules, operating and maintenance instructions. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Ability to speak effectively and interact with other team members, engineers, leadership and customers.

Experience
More than one year working experience

Education
Bachelor's degree and above

Physical Condition
The employee is regularly required to be in good health, available to work long time with computer, and bear high stress

Other Requirements
MATHEMATICAL SKILLS -
Ability to add, subtract, multiply, and divide into all units of measure, using whole numbers, common fractions, and decimals.
REASONING ABILITY - Ability to solve practical problems and deal with a variety of variables.
COMPUTER SKILLS - Knowledge of and familiarity manufacturing software.

Knowledge, Skills & Abilities utilized on the job
Professional Knowledge, Skills
Familiar with company's production process and Plex operation
Familiar with EXCEL and other office software, need strong data analysis ability
Good logic ability, strong data analysis ability
Familiar with supply chain management

Training Required
PRP operation

PRP management
Management method for material planning
Operation training for supply chain management and logistics management
Program manual

V. Work Environment:
While performing the duties of this job, the employee is occasionally exposed to extreme heat. The noise level in the work environment is usually moderate. Safety requirements for this p