Demand Forecasting & Analytics Analyst

Entegris, Inc.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Entegris, Inc. is seeking a Demand Planning Analyst in Singapore to design and implement analytical solutions that improve forecast accuracy and drive data-driven decisions.

You will leverage Python, R, and GCP technologies to develop models for an 18-month planning horizon while ensuring data integrity in SAP IBP. You will partner with Marketing, Supply Chain, and IT to refine market demand models, build dashboards in Power BI, and continuously improve forecasting methodologies for measurable

Qualifications

• Bachelor's or Master’s in a quantitative field.
• 2+ years developing analytical solutions using Python.
• 2+ years in time series forecasting including univariate, multivariate, and ensemble models.
• 2+ years working with SQL or similar databases.
• 1+ year of cloud computing (GCP/AWS/Azure).

Responsibilities

• Develop, maintain, and enhance statistical forecasting models for an 18-month horizon.
• Own forecast data and pricing in SAP IBP, ensuring data integrity.
• Build dashboards and visualizations using Power BI to communicate insights.
• Collaborate with Demand Planning, Supply Chain, Marketing, and IT to drive adoption of analytical solutions.
• Analyze large structured and unstructured datasets to identify trends, risks, and opportunities.

Skills

Time series forecasting

Python

Data analysis

BI dashboards

Cross-functional collaboration

Education

Bachelor's or Master's in a quantitative field

Tools

SQL

Google Cloud Platform

Power BI

SAP IBP

Job description

Entegris, Inc. is seeking a Demand Planning Analyst in Singapore to design and implement analytical solutions that improve forecast accuracy and drive data-driven decisions.

You will leverage Python, R, and GCP technologies to develop models for an 18-month planning horizon while ensuring data integrity in SAP IBP. You will partner with Marketing, Supply Chain, and IT to refine market demand models, build dashboards in Power BI, and continuously improve forecasting methodologies for measurable