Demand Planning 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

## Demand Planning AnalystApplylocations: Singapore, Singaporetime type: Full timeposted on: Posted Todayjob requisition id: REQ-13605**Job Title:**Demand Planning Analyst**Job Description:****The Role:**The Demand Planning team at Entegris is seeking a talented individual who is passionate about designing, implementing, and operating analytical solutions that improve forecast accuracy, drive data-driven decision making, and enable superior service to our customers. This role plays a critical part in transforming demand planning capabilities by turning complex data into actionable insights that support business growth, operational efficiency, and supply chain resilience.**In this role you will:*** 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.**Traits We Believe Make a Strong Candidate*** Strong analytical and quantitative problem-solving skills, with the ability to transform complex data into actionable business insights.* Demonstrated expertise in time series forecasting, including univariate, multivariate, and ensemble modeling techniques.* Proficiency in Python and statistical modeling, with experience developing, deploying, and maintaining analytical and machine learning solutions.* Ability to work with large, complex datasets and leverage both structured and unstructured data to solve business problems.* Strong business acumen with the ability to connect analytical outputs to business outcomes and planning decisions.* Experience designing scalable, robust, and maintainable data and analytics solutions in a cloud environment.* Effective communication and storytelling skills, with the ability to present technical concepts and recommendations to both technical and non-technical audiences.* Strong collaboration skills and the ability to partner effectively across Demand Planning, Marketing, Supply Chain, IT, and Commercial teams.* Curiosity, creativity, and a continuous improvement mindset, with a passion for leveraging data and technology to drive business value.* Self-motivated and able to manage multiple priorities in a fast-paced, evolving environment.**Qualifications*** 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.**Your success will be measured by:*** Consistently delivering high-quality results with accountability, ownership, and integrity.* Proactively solving problems and contributing innovative ideas that improve business performance.* Building strong collaborative relationships and effectively communicating with stakeholders across the organization.* Demonstrating continuous learning and a commitment to improving processes, tools, and ways of working.* Driving data-driven decision-making through analytical rigor, innovation, and execution excellence.* Delivering measurable improvements in forecasting accuracy, planning effectiveness, and business outcomes.