The Role:

The Demand Planning team at Entegris is seeking a talented individual who is passionate about designing, implementing, andoperatinganalytical 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, andmaintainstatistical forecasting models to improve demand forecast accuracy over an 18-month planning horizon,leveragingR, Python, and Google Cloud Platform technologies.

• Own andmaintainforecast 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.

• Demonstratedexpertisein time series forecasting, including univariate, multivariate, and ensemble modeling techniques.

• Proficiencyin Python and statistical modeling, with experience developing, deploying, andmaintaininganalytical 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 forleveragingdata and technology to drive business value.

• Self-motivated and able to manage multiple priorities in a fast-paced, evolving environment.

Qualifications

• Bachelor's orMaster'sdegree 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+yearof 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.