Senior Demand Planning Specialist (Manufacturing)

PEOPLE PROFILERS PTE. LTD.; Singapore; On-site; SGD 60,000 - 110,000; Full time

Job summary

PEOPLE PROFILERS PTE. LTD. is seeking a skilled analytics professional in Singapore to build forecasting models and dashboards, leveraging Python, R, and GCP. You will collaborate with Demand Planning and IT to embed best practices and drive measurable business impact.

The role emphasizes data-driven problem solving, cross-functional collaboration, and delivering scalable analytical solutions with Power BI visualizations.

Qualifications

• Bachelor's or Master's in Statistics, Mathematics, Data Science, Computer Science or related field.
• 2+ years building analytical solutions in Python.
• 2+ years in time series forecasting (univariate, multivariate, ensemble methods).
• 2+ years working with databases (SQL or similar) - data modeling, querying, management.
• 1+ year working in a cloud environment (GCP, AWS or Azure).
• 2+ years building dashboards/visualizations in Power BI or similar BI tools.
• Preferred: experience applying ML/predictive analytics to supply chain, demand planning, or similar.
• Nice to have: experience with SAP IBP or other advanced planning systems.

Responsibilities

• Build and maintain statistical forecasting models using R, Python, and GCP to improve 18-month demand forecast accuracy
• Manage forecast and pricing data in SAP IBP, ensuring accuracy and alignment with business needs
• Work with Marketing and other stakeholders to build and refine demand models using internal and external data
• Build and deploy machine learning solutions to automate planning and boost efficiency
• Mine large structured and unstructured datasets for trends, risks, and business opportunities
• Turn complex business problems into scalable analytical solutions through creative, data-driven problem-solving
• Build dashboards and reports (e.g., in Power BI) to communicate insights and support decision-making
• Continuously refine forecasting methods and planning tools to drive measurable business impact
• Partner with Demand Planning, Supply Chain, Commercial, and IT teams to embed analytical best practices org-wide

Skills

Python

Time series forecasting

SQL

Data visualization

ML & predictive analytics

Education

Bachelor's or Master's in Statistics, Mathematics, Data Science, Computer Science

Tools

Power BI

SAP IBP

GCP/AWS/Azure

Job description

Job Responsibilities

• Build and maintain statistical forecasting models using R, Python, and GCP to improve 18-month demand forecast accuracy


• Manage forecast and pricing data in SAP IBP, ensuring accuracy and alignment with business needs


• Work with Marketing and other stakeholders to build and refine demand models using internal and external data


• Build and deploy machine learning solutions to automate planning and boost efficiency


• Mine large structured and unstructured datasets for trends, risks, and business opportunities


• Turn complex business problems into scalable analytical solutions through creative, data-driven problem-solving


• Build dashboards and reports (e.g., in Power BI) to communicate insights and support decision-making


• Continuously refine forecasting methods and planning tools to drive measurable business impact


• Partner with Demand Planning, Supply Chain, Commercial, and IT teams to embed analytical best practices org-wide

Job Requirements

• Bachelor's or Master's in Statistics, Mathematics, Data Science, Computer Science, or related field


• 2+ years building analytical solutions in Python


• 2+ years in time series forecasting (univariate, multivariate, ensemble methods)


• 2+ years working with databases (SQL or similar) - data modeling, querying, management


• 1+ year working in a cloud environment (GCP, AWS, or Azure)


• 2+ years building dashboards/visualizations in Power BI or similar BI tools


• Preferred: experience applying ML/predictive analytics to supply chain, demand planning, or similar


• Nice to have: experience with SAP IBP or other advanced planning systems

We regret that only shortlisted candidates will be notified.