Senior Specialist, Demand Planning

Entegris Asia Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Entegris Asia Pte Ltd seeks a skilled data analytics professional to develop forecasting models and analytics across demand planning and supply chain. You will use Python, R, and cloud tools to deliver scalable insights and robust solutions.

You will maintain SAP IBP data, build dashboards in Power BI, and partner with Marketing and other teams to drive data-driven decisions and process improvements. You will collaborate with IT and supply chain teams to advance analytics adoption.

Qualifications

• Bachelor's or Master's in Statistics, Mathematics, Data Science, Computer Science, or related field.
• 2+ years creating analytical solutions with Python.
• 2+ years time series forecasting; univariate, multivariate and ensemble models.
• 2+ years with SQL or similar DB technologies (data modeling, querying, management).
• 1+ year cloud exposure (GCP/AWS/Azure).
• 2+ years building dashboards with Power BI or similar BI tools.
• Experience with ML, predictive analytics in supply chain or demand planning preferred.
• Experience with SAP IBP or other advanced planning systems is a plus.

Responsibilities

• Develop, enhance, and maintain statistical forecasting models to improve demand forecast accuracy over an 18-month planning horizon, leveraging R, Python, and GCP technologies.
• Own and maintain forecast data and pricing information within SAP IBP, ensuring data integrity and alignment with business requirements.
• Partner with Marketing and cross-functional stakeholders to develop, update, and refine market demand models using a combination of internal and external data sources.
• Design, build, and deploy machine learning solutions that automate planning processes and improve operational efficiency.
• Analyze large structured and unstructured datasets to identify trends, risks, opportunities, and actionable business insights.
• Translate complex business challenges into scalable analytical solutions through creative problem-solving and data understanding.
• Develop dashboards, reports, and visualizations using Power BI to communicate insights and support data-driven decisions.
• Continuously evaluate and improve forecasting methodologies, planning processes, and analytical tools to deliver measurable business value.
• Collaborate with Demand Planning, Supply Chain, Commercial, and IT teams to drive adoption of analytical solutions and best practices across the organization.

Skills

Python

R

Google Cloud Platform

SQL

Power BI

Time series forecasting

Machine learning

Data visualization

SAP IBP

Forecasting models

Education

Bachelor's or Master's degree in Statistics/Math/Data Science/CS

Tools

SAP IBP

Microsoft Power BI

SQL databases

Google Cloud Platform

Job description

Key Responsibilities

• Develop, enhance, and maintain statistical forecasting models to improve demand forecast accuracy over an 18-month planning horizon, leveraging R, Python, and Google Cloud Platform technologies.
• Own and maintain forecast data and pricing information within SAP Integrated Business Planning (IBP), ensuring data integrity and alignment with business requirements.
• Partner with Marketing and cross-functional stakeholders to develop, update, and refine market demand models using a combination of internal and external data sources.
• Design, build, and deploy machine learning solutions that automate planning processes and improve operational efficiency.
• Analyze large structured and unstructured datasets to identify trends, risks, opportunities, and actionable business insights.
• Translate complex business challenges into scalable, robust, and sustainable analytical solutions through creative problem-solving and a deep understanding of data.
• Develop dashboards, reports, and visualizations using tools such as Microsoft Power BI to effectively communicate insights and support data-driven decision-making.
• Continuously evaluate and improve forecasting methodologies, planning processes, and analytical tools to deliver measurable business value.
• Collaborate with Demand Planning, Supply Chain, Commercial, and IT teams to drive adoption of analytical solutions and best practices across the organization.

Requisite Criteria & Skills

• Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a
• related quantitative field.
• 2+ years of experience developing analytical solutions using Python.
• 2+ years of experience in time series forecasting, with a strong understanding of statistical
• forecasting techniques including univariate, multivariate, and ensemble models.
• 2+ years of experience working with database technologies (SQL or similar), including data
• modeling, querying, and data management.
• 1+ year of experience working in a cloud computing environment such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
• 2+ years of experience developing dashboards and visualizations using Microsoft Power BI or
• similar business intelligence tools.
• Experience with machine learning, predictive analytics, and forecasting applications within supply chain, demand planning, or related business functions is preferred.
• Experience with SAP IBP or other advanced planning systems is considered an asset.