I. Job Profile
Job Title
Manufacturing Data Analyst
Department
ARG Lamination Assembly
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.
10
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.
11
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.
12
Support and hoc financial analysis, including cost-benefit analyses for new process implementations and budgeting impact projections for new production lines.
13
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