Sr. Demand Analyst

Fender Musical Instrument Corporation (“FMIC”) is located in Phoenix, AZ. Our brand mission is to accompany each player at every stage with products and brand experiences that fuel the pursuit of musical expression. Within Global Demand Planning, we are focused on delivering operational excellence to the business and our customers by promoting collaboration, building trust, and setting high standards. Our mission is to support and enable the makers who fuel the pursuit of musical expression. We are currently seeking a Senior Demand Analyst – Americas to join our Supply Chain team. This is an analytics-focused role within Supply Chain, created to deliver actionable insights that strengthen the demand planning function. Leveraging AI and advanced analytics, the Senior Demand Analyst surfaces patterns, emerging trends, and recommendations that enable demand managers and planners to make faster, better-informed decisions in support of the consensus process of the Sales, Inventory and Operations Plan (SIOP) and the translation of reduced forecast bias, high fill rates, optimized inventory, and efficient manufacturing plans. Essential Functions: Leverage AI and machine-learning tools (e.g., generative AI assistants, predictive modeling, and automated analytics platforms) to develop tools, accelerate data analysis, and surface actionable insights for demand managers and cross-functional stakeholders Identify patterns and emerging trends across SKU, channel, and category data using AI-assisted analysis, translating raw data into clear, decision-ready recommendations Develop and maintain enhanced reporting and root-cause analyses — including Pareto analysis — to isolate the primary drivers of forecast error and excess and obsolete inventory, and recommend corrective actions Design and automate analytical tools, spreadsheets, dashboards, and workflows that reduce manual effort, improve forecast accuracy, and scale insight generation across a large SKU base Deliver advanced sell-through insights and trackers — designing automated, self-refreshing dashboards that monitor new item and factory special-run performance against plan, with early-warning flags on risks and opportunities Build data-driven recommendations for New Product Introduction (NPI) launch quantities, incorporating analog/like-item modeling, load-in curves, and sell-through signals to reduce launch risk and optimize initial inventory placement Review and analyze historical sales trends and research demand drivers — including NPI analysis, load-in curves, and sell-through demand trends Selection and use of statistical models for forecast development Analyze unconstrained / true demand, accounting for stockouts and unfulfilled orders, so the forecast reflects real demand — including pent-up demand — rather than constrained shipments Provide awareness to activities and trends that impact the operational forecast Prepare, maintain, and publish new item / factory special-run sell-through reports to monitor and assess performance and trend Monitor, analyze and prepare key performance reports to include (but not limited to) inventory, forecast accuracy, MAPE, slow moving, excess and obsolete inventory, and new product introduction Support the forecasting process by providing analysis, scenario modeling, and insights that inform the conversion of the unit-based forecast into a monthly revenue plan over a 12 to 24-month planning horizon Provide insights to demand managers and the Supply Planning process regarding forecast changes, forecast accuracy, and upcoming risks and opportunities that can impact the supply plan and inventory Develop alternate forecast scenarios and risk-mitigation analyses to support demand managers in decision-making Monitor trends in customer orders (by create date and request date) against forecast and identify forecast improvements Plan and execute large-scale analytical projects Create monitoring templates and communicate monthly results and recommendati…