Demand Planning Analyst

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.