Demand Planner

Leggett & Platt, Incorporated•Newnan, GA

33d

About The Position

We, at Elite Comfort Solutions LLC, a Leggett & Platt company, are seeking a highly analytical and detail-oriented Demand Planner to join our dynamic supply chain team. Did you know we are a global leader in foam technology? That's right! In fact, we have been pioneers in this industry for over 20 years. Since then, we have partnered with Leggett & Platt and been an industry leader in guaranteeing you get the best sleep possible. If you join our team, your work will ensure people across the world have a little more comfort in their lives. The primary responsibility of this role is to develop accurate demand forecasts by leveraging statistical analysis and data from multiple sources, driving strategic recommendations to optimize inventory, capacity, and operational efficiency. The ideal candidate will excel in data manipulation, statistical modeling, and visualization, with advanced proficiency in Excel, Python, and PowerBI. This role will also involve creating and tracking key performance indicators (KPIs) related to inventory management, capacity planning, and storage utilization to support business objectives.

Requirements

Bachelor's degree in supply chain management, Statistics, Data Science, Business Analytics, or related field or equivalent experience.
4+ years' experience in demand planning/supply chain experience in a fast-paced manufacturing environment.
4+ years of experience in demand planning, supply chain analytics, or a similar role with a focus on data analysis.
Proven track record of building statistical models and analyzing complex datasets to drive business decisions.
Experience with inventory management, capacity planning, or storage optimization is highly desirable.
Advanced proficiency in Microsoft Excel (e.g., complex formulas, PivotTables, VBA/macros).
Strong programming skills in Python for data analysis, statistical modeling, and automation (e.g., pandas, NumPy, scikit-learn).
Expertise in PowerBI for creating interactive dashboards and visualizing KPIs.
Familiarity with ERP systems (e.g., Dynamics365, SAP, Oracle) and data integration tools is a plus.
Deep understanding of statistical methods and forecasting techniques (e.g., regression analysis, time-series forecasting).
Ability to synthesize data from multiple sources and translate insights into actionable recommendations.
Strong problem-solving skills with a focus on accuracy and attention to detail.
Excellent communication skills to present complex data insights to non-technical stakeholders.
Collaborative mindset with the ability to work cross-functionally in a fast-paced environment.
Proactive, self-starter with strong organizational and time-management skills.

Nice To Haves

Advanced Supply Chain Planning certification from ASCM (APICS) / ISM preferred.
Experience with machine learning frameworks or advanced forecasting tools (e.g., Tableau, R).
Knowledge of supply chain software (e.g., JDA, Blue Yonder, or Anaplan).

Responsibilities

Collect and consolidate data from multiple sources (e.g., sales history, market trends, seasonality, and external factors) to create robust statistical demand forecasts.
Utilize historical data and trend analysis to develop predictive models, ensuring accuracy and alignment with business goals.
Analyze forecast outputs, identify variances, and provide actionable recommendations to stakeholders for supply chain optimization.
Apply advanced statistical techniques to interpret complex datasets, identifying patterns and insights to inform demand planning.
Develop and maintain forecasting models using Python for statistical analysis, machine learning, or time-series forecasting (e.g., ARIMA, Prophet).
Validate forecast accuracy through iterative analysis and refining models to improve predictive performance.
Design and implement meaningful KPIs to measure demand planning accuracy, inventory turnover, capacity utilization, and other critical metrics.
Create dashboards and visualizations in PowerBI to track KPIs and provide real-time insights to leadership and cross-functional teams.
Regularly report on performance metrics, highlighting trends, risks, and opportunities for improvement.
Extract, clean, and integrate data from disparate sources (e.g., ERP systems, CRM platforms, external market data) to support forecasting and planning.
Leverage advanced Excel functions (e.g., VLOOKUP, PivotTables, macros) for data manipulation and reporting.
Use Python for data processing, automation, and advanced analytics to streamline planning workflows.
Aggregate and analyze inventory data, capacity plans, and storage utilization metrics to ensure alignment with demand forecasts.
Collaborate with procurement, logistics, and operations teams to balance inventory levels, minimize stockouts, and reduce excess inventory.
Monitor storage utilization trends to optimize warehouse space and inform capacity planning decisions.
Partner with sales, marketing, and operations teams to incorporate qualitative inputs (e.g., promotions, product launches) into demand forecasts.
Present data-driven insights and recommendations to leadership to support strategic decision-making.
Drive continuous improvement in planning processes through feedback loops and stakeholder engagement.