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Junior Data Analyst – Manufacturing Systems & Planning

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Onsite

Junior Data Analyst – Manufacturing Systems & Planning

Maxim Textile Technology Sdn Bhd

Junior Data Analyst – Manufacturing Systems & Planning

Skills

SQL QueriesPythonData AnalysisProcess ImprovementSupply ChainDigital TransformationPower BI

15 days ago

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Important information


Contract type:

Permanent

Salary:

MYR 36,000 – MYR 48,000 / year

Location:

Johor Bahru, Johor, Malaysia

Work mode:

Onsite

Published on:

7 October 2026

What they need


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.

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