Demand Planning Analyst

MANN+HUMMEL; Gastonia (NC); On-site; USD 60,000 - 80,000; Full time

Job summary

MANN+HUMMEL in Gastonia, NC is seeking a Demand Planning Analyst who will develop baseline forecasts, analyze demand trends, and maintain planning data to support the monthly demand consensus.

The ideal candidate is highly analytical, detail-oriented, and skilled in Excel, Power BI, and SAP data management, with 1–3 years in demand planning or analytics and a focus on improving forecast accuracy and business decisions.

Qualifications

• Bachelor’s degree in a related field required.
• 1–3 years of demand planning or analytics experience.
• Proficiency in Excel, Power BI, and SAP data tools.

Responsibilities

• Develop and maintain baseline forecasts using historical sales, seasonality, and trends.
• Analyze forecast performance and identify root causes of variances.
• Prepare monthly demand planning reports with KPI metrics.
• Support the monthly Demand Consensus process with data and analyses.
• Maintain forecast master data and planning parameters in SAP.
• Assist with customer, product, and market demand analyses.
• Support new product launches and transitions from a demand planning view.
• Develop and automate reporting using Excel and Power BI.
• Collaborate with Supply Planning, Customer Service, and Finance to ensure data accuracy.
• Suggest process improvements to increase forecasting efficiency.
• Provide ad hoc analyses for Senior Demand Planners and leadership.

Skills

Forecasting

Analytical thinking

Problem-solving

Communication

Organizational skills

Education

Bachelor's degree

Tools

Excel

Power BI

SAP S/4HANA

SAP IBP

Job description

Role Summary

The Demand Planning Analyst provides analytical and operational support to the Demand Planning team by developing baseline forecasts, analysing demand trends, maintaining planning data, and preparing reports and insights that support the monthly demand consensus process. Working closely with the Senior Demand Planners, this role enables the team to focus on strategic forecasting, stakeholder engagement, and ownership of the overall demand plan.

The ideal candidate is highly analytical, detail-oriented, and enjoys turning data into actionable insights that improve forecast accuracy and business decision-making.

Main Tasks

• Develop and maintain baseline statistical forecasts using historical sales, seasonality, and demand trends.
• Analyze forecast performance, identify root causes of forecast variances, and recommend improvements.
• Prepare monthly demand planning reports including forecast tracking, as well as KPI metrics including forecast accuracy and bias.
• Support the monthly Demand Consensus process by preparing data, analyses, and presentation materials.
• Maintain forecast master data, planning parameters, and data integrity within SAP.
• Help perform customer, product, and market demand analyses to identify emerging trends and business risks.
• Support new product launches, product transitions, and product discontinuations from a demand planning perspective.
• Develop and automate reporting using Excel, Power BI, and other emerging AI-enabled analytical tools.
• Partner with Supply Planning, Customer Service, and Finance to ensure planning data is accurate and complete.
• Recommend process improvements that increase forecasting efficiency and reduce manual work.
• Provide ad hoc analyses and decision support for Senior Demand Planners and leadership.

Education:

• Bachelor’s degree in Supply Chain, Business, Finance, Engineering, Statistics, or related field.

Experience:

• 1-3 years of experience in demand planning, supply chain, forecasting, business analytics, or a related analytical role.
• Advanced to Expert Microsoft Excel skills.
• Strong analytical and problem-solving abilities.
• Excellent organizational and communication skills.

Preferred

• Experience with SAP S/4HANA, SAP IBP, or similar planning systems.
• Experience using Power BI.
• Experience in a manufacturing environment.
• Knowledge of forecasting methodologies and SIOP processes.

Success Measures

• Improved forecast accuracy and reduced forecast bias.
• Timely completion of monthly forecasting activities.
• High-quality analytical support for Senior Demand Planners.
• Increased automation and reporting efficiency.
• Accurate and reliable planning data.
• Identification of demand risks and opportunities before they impact the business.