Forecasting & Supply Chain Analytics Specialist

Advanced Micro Devices; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices in Singapore is looking for a candidate to manage product-level demand forecasts and enhance forecasting systems. The ideal individual will collaborate with various teams, apply analytical techniques, and drive automation initiatives.

The role requires a strong analytical background, attention to detail, and proficiency in data analytics tools like Power BI and Excel. Applicants should have relevant academic credentials in fields such as Data Science or Engineering.

Qualifications

• Experience or interest in demand planning, forecasting, supply chain, business planning, or operations analytics.
• Ability to translate data into actionable business insights.
• Experience in forecasting, inventory management, or related supply chain processes.

Responsibilities

• Manage and deliver AECG product-level demand forecast.
• Provide demand forecast to support supply planning processes.
• Generate revenue forecast reports across product, customer, and market dimensions.
• Maintain and enhance forecasting systems and analytics platforms.
• Collaborate with teams to drive process improvement.
• Manage forecast accuracy metrics and recommend actions for improvement.
• Drive automation initiatives to improve reporting efficiency.
• Apply analytical techniques to identify forecasting risks and opportunities.

Skills

Analytical skills

Attention to detail

Data analysis

Cross-functional collaboration

Education

Bachelor’s or Master’s Degree in Engineering, Statistics, Data Science, Mathematics, Supply Chain Management, Finance, or Accounting

Tools

Excel

Power BI

PL/SQL

Python

Job description

Advanced Micro Devices in Singapore is looking for a candidate to manage product-level demand forecasts and enhance forecasting systems. The ideal individual will collaborate with various teams, apply analytical techniques, and drive automation initiatives.

The role requires a strong analytical background, attention to detail, and proficiency in data analytics tools like Power BI and Excel. Applicants should have relevant academic credentials in fields such as Data Science or Engineering.