Senior Specialist, Demand Planning Analyst

Entegris Asia Pte Ltd; Santo Niño 1st; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Entegris Asia Pte Ltd seeks a data-driven Demand Planning professional to design and operate analytical solutions that improve forecast accuracy and supply chain resilience. You will turn complex data into actionable insights that support business growth and customer service.

The role focuses on developing forecasting models with Python, managing SAP IBP data, building Power BI dashboards, and collaborating with cross-functional teams across Marketing, Supply Chain, IT, and Commercial to drive

Qualifications

• 2+ years of experience developing analytical solutions using Python.
• 0

Responsibilities

• Develop, enhance, and maintain forecasting models for an 18-month horizon.

Skills

Analytical thinking

Time series forecasting

Python

Data visualization

Power BI

Cloud computing

Statistical modeling

SQL

Education

Bachelor's or Master's in Statistics/Mathematics/Data Science/CS

Tools

SQL

Google Cloud Platform

SAP IBP

Microsoft Azure

AWS

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.