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Maxim Textile Technology

JUNIOR DATA ANALYST – MANUFACTURING SYSTEMS & PLANNING

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Salary: RM 3,000 – RM 4,000 per month

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.


Skills

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See also

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