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Parksite

Demand Intelligence Manager

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What they do

A Demand Planner creates demand forecasts and provides demand analysis and planning for a company. Analyzes sales data, monitors inventory, creates reports for company managers, and works to improve the accuracy of demand forecasts. May coordinate demand planning with sales, production or logistics departments.

$104,936 / year median in Illinois

+9% projected growth

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Job Description

Demand Intelligence Manager Parksite - 3.0 Batavia, IL Job Details Full-time $115,000 - $125,000 a year 14 hours ago Qualifications Performance dashboard reports Market research data Customer behavior analysis Microsoft Excel Business intelligence Automation 5 years Bachelor's degree in finance Dashboard creation Bachelor's degree in business Business intelligence report generation Dashboard creation support Stock control methods Data governance Finance Sales data analysis Inventory reduction demand planning Analysis skills Business intelligence tools Historical sales data analysis Bachelor's degree Continuous improvement Supply chain performance monitoring Industry trends Process improvement demand planning Data-driven problem-solving Improving sales forecasting accuracy Senior level Cross-functional collaboration Business Full Job Description Position Summary The Demand Intelligence Manager is responsible for developing and leading the company's demand forecasting and intelligence capabilities. This role translates historical demand, market trends, customer behavior, sales inputs, growth plans, and other demand signals into an accurate, forward-looking demand plan that supports inventory, purchasing, sales, and operational decisions. The role serves as the subject matter expert for demand planning and partners cross-functionally to improve forecast accuracy, inventory availability, working capital, and overall supply chain performance. Key Responsibilities Own and continuously improve the company's demand forecasting and planning process across products, locations, and business units. Develop forecasts using historical demand, seasonality, trends, business growth plans, market conditions, promotions, and other relevant demand signals. Analyze demand trends, anomalies, lost sales, stockouts, backorders, and customer behavior to identify changes in true demand. Monitor forecast accuracy and bias and continuously improve forecasting methodologies. Translate demand intelligence into actionable recommendations for Inventory Management and Purchasing, including stocking levels, inventory positioning, and future supply requirements. Partner with Sales to incorporate customer and market intelligence into the demand plan. Establish and maintain demand planning standards, ERP parameters, forecasting rules, and data governance. Lead the demand planning component of S&OP/SIOP and communicate key demand risks, opportunities, and changes to leadership. Develop dashboards and reporting that provide clear, actionable visibility into demand and forecast performance. Identify opportunities to automate and improve planning processes and reduce manual work. Serve as the subject matter expert and advocate for data-driven demand planning across the organization. Key Performance Indicators Forecast accuracy and bias Inventory availability / service levels Lost sales and stockout trends Excess and obsolete inventory Inventory turns / Days on Hand Forecast stability and demand volatility
S&OP/SIOP
plan accuracy Qualifications Bachelor's degree in Supply Chain, Business, Analytics, Finance, or related field preferred. 5+ years of experience in demand planning, forecasting, supply chain analytics, inventory planning, or a related discipline. Strong understanding of forecasting, inventory planning, and supply chain principles. Advanced Excel and strong analytical skills; experience with ERP and BI tools preferred. Experience with S&OP/SIOP or similar cross-functional planning processes. Strong communication skills with the ability to translate complex data into clear business recommendations. Ability to influence cross-functional teams and challenge assumptions using data.
Physical Requirements/Environment:
Office environment Occasional travel required