Data Mining Analyst

Major Responsibilities:
• Forecast material usage and set target inventory parameters
• Monitor production and inventory levels against planned schedules
• Using forecast data, develop both short term and long range production plans
• Monitor and report inventory days; develop improvement plans and coordinate implementation with the plants
• Analyzes and resolves routine and non-routine obsolete and excess inventory issues. Reviews and analyzes ABC codes and order policies of parts.
• Reviews, analyzes, and resolves conflicts in supply and demand, and investigates as required. Presents findings and recommended solutions to management.
• Develops reports and procedures for inventory monitoring and control. Coordinates with IT in developing inventory data collection reports.
• Maintains, implements and assists in the development of inventory control programs to ensure project(s) and production requirements are met on time and within budget.
• Reviews and evaluates inventory control policy and procedures, and makes recommendations for changes.
• Analyzes and maintains sufficient inventory levels to meet production, Hi-time and repair requirements, while maintaining inventory level in accordance with management guidelines.
• Analyzes and processes inventory write off of inventory obsolescence.
• Additional Functions Other duties as assigned or required.

Special Requirements for this position:
This is a data mining job. We need people who really love to work with data.

Minimum Qualification Requirements:
• University or equivalent education and/ or experience in related discipline.
• 1 or 2 years’ experiences working in EMS environment with ERP system will be preferred. Strong skill on Excel (data analysis, charts, macros...), multi-task and prioritization
• Good at reports & presentation skill/ tools is preferable
• Good command in English both writing and speaking.
• Ability to manage projects effectively and meet Company deadlines
• Complete tasks and special projects as required by Manager or Supervisor.
• Personal traits: self-motivated and directed, creative, achievement focused and team oriented
• Good analytical/problem solving skills
• Above average math skills
• Good organizational and planning skills
• Good communication skills (oral and written)
• Strong sense of personal responsibility/accountability
• Good independent decision making

- Whatever It Takes Award
- International travel
- According to company policy

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