全职 JUNIOR DATA ANALYST – MANUFACTURING SYSTEMS - PLANNING 工作, 薪水 up to MYR 4,000, Maxim Textile Technology Johor 公司招聘中 - Ricebowl

Key Responsibilities

Manufacturing Data Analytics

• Extract, consolidate, validate and analyze data from ERP and other manufacturing systems.
• Develop and maintain operational dashboards, reports and analytical tools using Excel, SQL, Power BI or similar technologies.
• Analyze key manufacturing indicators including production output, WIP, machine utilization, capacity, lead time, order status, schedule adherence and delivery performance.
• Identify trends, abnormalities, bottlenecks and potential risks through data analysis.
• Improve the accuracy, consistency and reliability of operational and management reporting.

ERP & Manufacturing Systems

• Develop a strong understanding of ERP manufacturing processes, data structures and business logic.
• Support analysis and improvement of manufacturing master data including products, machines, processes, routings, standard production times and capacity-related parameters.
• Work with users to identify system or data issues affecting production visibility and operational decision-making.
• Participate in ERP enhancement, system integration, automation and digitalization projects.
• Support user requirement analysis, testing, implementation and continuous improvement of manufacturing-related systems.

Production Planning Analytics

• Support PPC and Production teams by analyzing customer orders, production requirements, available capacity, WIP status and delivery priorities.
• Develop analytical models and reports to compare production demand against available capacity.
• Analyze planned versus actual production performance and identify causes of schedule deviation.
• Support analysis of production bottlenecks, machine loading, resource constraints and order prioritization.
• Provide data-driven recommendations to improve production flow, schedule adherence and on-time delivery.
• Assist in scenario analysis and simulation for changing production priorities, capacity constraints and delivery requirements.

Business Process Improvement

• Work closely with Production, PPC, Warehouse, Quality, Sales, Supply Chain and other departments to understand operational processes.
• Investigate operational and production issues using data and root-cause analysis.
• Recommend process, system and data improvements to improve manufacturing efficiency and decision-making.
• Participate in continuous improvement and digital transformation initiatives.

.

Qualification

Bachelor's Degree or Diploma in one of the following or related fields:

• Industrial Engineering
• Manufacturing Engineering
• Supply Chain / Operations Management
• Operations Research
• Business Analytics / Data Analytics
• Information Systems
• Statistics / Mathematics
• Computer Science

Added Advantage:

• Experience with ERP, MRP, MES or manufacturing systems.
• Knowledge of production planning, scheduling, inventory, WIP or capacity planning.
• Knowledge of Python or other analytical/programming tools.
• Exposure to APS or production scheduling software.
• Experience in a manufacturing environment.

Job Type: Full-time

Pay: RM3,000.00 - RM4,000.00 per month

Benefits:

• Free parking
• Maternity leave
• Opportunities for promotion
• Professional development

Ability to commute/relocate:

• Senai: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelor's (Preferred)

Experience:

• Data mining: 1 year (Preferred)
• SQL: 1 year (Preferred)
• Microsoft Excel: 1 year (Preferred)
• Analysis skills: 1 year (Preferred)

Work Location: In person