Officer, Manufacturing Production Planning & Control

ASMPT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ASMPT SINGAPORE PTE. LTD. in Singapore seeks a data analytics professional to drive inventory analytics, automate cross-functional planning processes, and deliver Power BI reporting with AI-enabled tooling.

You will analyze inventory and demand across multiple sites, build Python-based analytics engines and Streamlit tools, and craft executive dashboards with real-time KPI alerts. Collaboration with SCM teams is essential.

Qualifications

• Bachelor's or Master's in MIS, Supply Chain, Business, Engineering, or a related field.
• Strong Excel and Power BI; Python, SQL and Tableau are advantageous.
• Familiarity with SAP ERP and UiPath workflow automation desirable.
• Analytical ability to translate complex data into actionable recommendations.
• Excellent written and verbal communication; attention to detail.

Responsibilities

• Analyze inventory, demand and supply data across sites to improve planning accuracy.
• Build Python-based analytics engines and Streamlit apps to automate analyses.
• Create Power BI dashboards with KPI alerts and drill-downs for executives.
• Explore AI tools to enhance data processing and reporting.
• Support planning strategies for demand-supply alignment and capacity forecasting.
• Track project milestones and maintain PRDs and user guides.
• Collaborate with manufacturing, logistics and procurement for aligned planning.

Skills

Excel

Power BI

Python

SQL

Tableau

SAP

UiPath

Education

Bachelor's or Master's in MIS / Supply Chain / Business / Engineering / Statistics

Tools

Streamlit

Job description

Reporting to the CPC team within SCM, this role drives data-driven decision-making across supply chain operations. It focuses on inventory analytics, automation of cross-functional planning processes, and Power BI reporting , supported by AI-enabled tooling.

Key Responsibilities

Inventory & Supply Chain Analytics

Analyze inventory, demand and supply data across multiple manufacturing sites to uncover trends and improve planning accuracy. Consolidate multi-source data (Finance, Planning, PC) into standardized, repeatable analyses.

Process Automation & Digital Tools

Build and productize Python-based analytics engines and internal tools (e.g., Streamlit apps, data cleaning workbenches) that turn manual, multi-day monthly analyses into one‑click, minutes‑level runs. Write user guides so non‑technical colleagues can run them independently.

Data Visualization & Reporting

Use Power BI to build executive and managerial dashboards with KPI alerting and multi-level drill-down, creating a single source of truth for real-time monitoring. Prepare clear, timely reports for executive presentations and operational reviews.

AI & Technology Exploration

Explore and apply new analytics and AI tools (LLM applications, agentic pipelines, AI coding tools) to improve data processing, modeling and reporting.

Strategic & Capacity Planning Support

Contribute to planning strategies that align demand and supply, and support long‑range planning and capacity forecasting.

Project Execution Support

Support cross-functional supply chain projects such as system enhancements and process automation. Track milestones, maintain documentation (e.g., PRDs, user guides) and keep stakeholders informed.

Cross‑Functional Collaboration

Work with manufacturing, logistics, procurement and other SCM teams to keep capacity and resource planning aligned.

Requirements

• Education: Bachelor's or Master's in Management Information Systems, Supply Chain, Business, Engineering, Statistics or a related field.
• Technical: Strong Excel and Power BI. Python, SQL and Tableau are advantages. Familiarity with ERP systems such as SAP, and with workflow automation (e.g., UiPath), is desirable.
• Analytical: Ability to interpret complex datasets and turn them into clear, data-driven recommendations.
• Communication: Strong written and verbal communication
• Attention to Detail: High accuracy in analysis, reporting and documentation.
• Learning Agility: Self-driven, with a growth mindset and eagerness to adopt new tools and methods.