Senior Demand Planner: Forecasting & ML Analytics

Entegris Asia Pte Ltd

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+

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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.