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.
