Its fun to work in a company where people truly BELIEVE in what theyre doing!
Job Description:
Role Overview:
The S&OP COE Analyst is a critical role within the Planning Center of Excellence responsible for elevating the companys Sales & Operations Planning capabilities across a complex multi-vendor technology portfolio.
Operating in a high-SKU fast-moving distribution environment this role blends statistical planning inventory optimization and category performance analytics with structured S&OP process governance. The analyst ensures demand supply inventory and financial plans are fully integrated enabling improved service levels working capital efficiency and executive decision-making.
This position supports a global business managing thousands of SKUs across multiple OEM partners lifecycle stages and regional markets.
Key Responsibilities:
1. Enterprise S&OP Governance:
- Support global standardization of the monthly S&OP cycle across regions and business units
- Ensure alignment between Demand Planning Supply Planning Category Management Finance and Sales
- Drive meeting readiness executive reporting and structured decision support
- Maintain KPI governance including forecast accuracy bias service level inventory turns and working capital
- Identify process gaps and lead continuous improvement initiatives to mature S&OP toward Integrated Business Planning (IBP)
2. Statistical Forecasting & Demand Segmentation:
- Develop and enhance statistical baseline forecasting models across high-SKU portfolios
- Segment SKUs by demand pattern (smooth intermittent erratic lifecycle) to apply differentiated planning strategies
- Partner with Demand Planning to improve forecast accuracy at SKU vendor and category levels
- Conduct forecast error and bias root cause analysis
- Automate performance dashboards and exception reporting
- Support parameter optimization and model tuning in planning systems
3. Inventory Optimization & Working Capital Strategy:
- Analyze inventory positioning across distribution centers and regions
- Support multi-echelon inventory analysis and safety stock optimization
- Develop segmentation frameworks across thousands of SKUs
- Drive long-tail SKU strategies (low/no-touch planning rationalization order frequency optimization)
- Monitor excess & obsolete exposure lifecycle risk and vendor transition impacts
- Quantify working capital impact of planning decisions and provide executive-level insights
4. Category & Vendor Portfolio Analytics:
- Partner with Category Management and Vendor Management teams to assess portfolio performance
- Build vendor and subcategory scorecards integrating revenue margin inventory and service metrics
- Support SKU rationalization and vendor mix optimization initiatives
- Conduct lifecycle analytics (new product introduction refresh cycles end-of-life risk)
- Model assortment and allocation scenarios across regions
5. Advanced Analytics & Decision Support:
- Build scalable data models to support forecasting inventory analytics and KPI reporting
- Develop and maintain executive dashboards using BI tools (Power BI Tableau or similar)
- Automate recurring reporting through SQL-driven data pipelines
- Conduct scenario modeling and what-if analysis to evaluate demand shocks supply constraints and margin impact
- Partner with IT and data engineering teams to enhance planning data architecture and governance
- Improve master data accuracy and standardize KPI definitions across regions
6. Systems & Data Governance:
- Partner with IT and system owners to enhance ERP and advanced planning tools
- Improve data integrity and master data governance
- Support system enhancements reporting automation and KPI standardization
- Drive scalable analytics solutions across global regions
Qualifications:
- Bachelors degree in Supply Chain Engineering Finance Statistics or Business
- 510 years of experience in S&OP demand planning supply planning or supply chain analytics within a distribution or technology environment
- Experience managing large SKU portfolios (10000 SKUs preferred)
- Strong knowledge of statistical forecasting methods and inventory optimization principles
- Advanced Excel skills; experience with BI platforms (Power BI Tableau etc.)
- Strong hands-on SQL capability (data extraction joins aggregations performance optimization)
- Experience with ERP and planning systems (Blue Yonder SAP Oracle Kinaxis Anaplan or similar)
- Strong quantitative modeling and financial acumen
- Ability to influence cross-functional stakeholders in a matrixed global organization
Required Experience:
Manager
Its fun to work in a company where people truly BELIEVE in what theyre doing!Job Description:Role Overview:The S&OP COE Analyst is a critical role within the Planning Center of Excellence responsible for elevating the companys Sales & Operations Planning capabilities across a complex multi-vendor te...
Its fun to work in a company where people truly BELIEVE in what theyre doing!
Job Description:
Role Overview:
The S&OP COE Analyst is a critical role within the Planning Center of Excellence responsible for elevating the companys Sales & Operations Planning capabilities across a complex multi-vendor technology portfolio.
Operating in a high-SKU fast-moving distribution environment this role blends statistical planning inventory optimization and category performance analytics with structured S&OP process governance. The analyst ensures demand supply inventory and financial plans are fully integrated enabling improved service levels working capital efficiency and executive decision-making.
This position supports a global business managing thousands of SKUs across multiple OEM partners lifecycle stages and regional markets.
Key Responsibilities:
1. Enterprise S&OP Governance:
- Support global standardization of the monthly S&OP cycle across regions and business units
- Ensure alignment between Demand Planning Supply Planning Category Management Finance and Sales
- Drive meeting readiness executive reporting and structured decision support
- Maintain KPI governance including forecast accuracy bias service level inventory turns and working capital
- Identify process gaps and lead continuous improvement initiatives to mature S&OP toward Integrated Business Planning (IBP)
2. Statistical Forecasting & Demand Segmentation:
- Develop and enhance statistical baseline forecasting models across high-SKU portfolios
- Segment SKUs by demand pattern (smooth intermittent erratic lifecycle) to apply differentiated planning strategies
- Partner with Demand Planning to improve forecast accuracy at SKU vendor and category levels
- Conduct forecast error and bias root cause analysis
- Automate performance dashboards and exception reporting
- Support parameter optimization and model tuning in planning systems
3. Inventory Optimization & Working Capital Strategy:
- Analyze inventory positioning across distribution centers and regions
- Support multi-echelon inventory analysis and safety stock optimization
- Develop segmentation frameworks across thousands of SKUs
- Drive long-tail SKU strategies (low/no-touch planning rationalization order frequency optimization)
- Monitor excess & obsolete exposure lifecycle risk and vendor transition impacts
- Quantify working capital impact of planning decisions and provide executive-level insights
4. Category & Vendor Portfolio Analytics:
- Partner with Category Management and Vendor Management teams to assess portfolio performance
- Build vendor and subcategory scorecards integrating revenue margin inventory and service metrics
- Support SKU rationalization and vendor mix optimization initiatives
- Conduct lifecycle analytics (new product introduction refresh cycles end-of-life risk)
- Model assortment and allocation scenarios across regions
5. Advanced Analytics & Decision Support:
- Build scalable data models to support forecasting inventory analytics and KPI reporting
- Develop and maintain executive dashboards using BI tools (Power BI Tableau or similar)
- Automate recurring reporting through SQL-driven data pipelines
- Conduct scenario modeling and what-if analysis to evaluate demand shocks supply constraints and margin impact
- Partner with IT and data engineering teams to enhance planning data architecture and governance
- Improve master data accuracy and standardize KPI definitions across regions
6. Systems & Data Governance:
- Partner with IT and system owners to enhance ERP and advanced planning tools
- Improve data integrity and master data governance
- Support system enhancements reporting automation and KPI standardization
- Drive scalable analytics solutions across global regions
Qualifications:
- Bachelors degree in Supply Chain Engineering Finance Statistics or Business
- 510 years of experience in S&OP demand planning supply planning or supply chain analytics within a distribution or technology environment
- Experience managing large SKU portfolios (10000 SKUs preferred)
- Strong knowledge of statistical forecasting methods and inventory optimization principles
- Advanced Excel skills; experience with BI platforms (Power BI Tableau etc.)
- Strong hands-on SQL capability (data extraction joins aggregations performance optimization)
- Experience with ERP and planning systems (Blue Yonder SAP Oracle Kinaxis Anaplan or similar)
- Strong quantitative modeling and financial acumen
- Ability to influence cross-functional stakeholders in a matrixed global organization
Required Experience:
Manager
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