DEMAND ANALYST I

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DEMAND ANALYST I

7/13/26

Job Posting Title: DEMAND ANALYST I   Job ID: 145288   Band/Level: 5-4-S  Education Experience: Bachelors Degree (High School +4 years)   Employment Experience: 3-5 years   At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

We seek an analytical demand analyst to develop accurate forecasts for manufacturing parts, ensure optimal inventory levels, and enable production planning. Requires collaboration with Sales, Account Management, and Product Management to translate market insights into actionable demand plans using AI and data science techniques. Roles & Responsibility:

•Develop and optimize demand forecasts by leveraging historical sales data, cross-functional inputs from Sales/Account Management/Product Management, AI-driven forecasting techniques, and continuous adjustments based on demand trends, customer orders, and product lifecycle changes to align with business strategies. •Monitor forecast performance and market intelligence by analyzing forecast accuracy, identifying variance patterns, recommending improvement actions, and gathering key market insights to enhance forecasting reliability and support strategic decision-making. •Collaborate cross-functionally with Account Managers and Product Management to gather customer-specific demand patterns, upcoming project requirements, and incorporate product lifecycle stages, new product introductions, and end-of-life planning into comprehensive demand forecasts. •Lead stakeholder alignment through monthly demand review meetings to ensure all parties are aligned on forecast assumptions, changes, and strategic planning while facilitating clear communication between teams on demand planning decisions. •Manage customer capacity validation and coordination by reviewing customer-submitted capacity checks, ensuring new program launch demands are properly entered and tracked in the demand planning system, and coordinating with internal teams to proactively address capacity risks or discrepancies before production commitments. •Deliver data-driven analysis and reporting by analyzing historical demand patterns, seasonality, and customer ordering behavior to identify risks and opportunities, while preparing forecast accuracy reports, demand variance analysis, and KPIs to provide clear insights that support inventory optimization and reduce obsolescence. •Drive continuous improvement and best practice development by identifying and implementing