- Professional
- Oficina en Markle
Position Summary:
The SIOP Analyst supports the Sales, Inventory & Operations Planning process by providing data-driven insights, facilitating cross-functional collaboration, and driving continuous improvement in forecast accuracy, inventory health, and service levels.
Key Responsibilities:
- Forecasting & Demand Planning
- Analyze historical data and market trends to support accurate demand forecasts.
- Collaborate with commercial teams to validate and refine forecasts.
- Inventory & Supply Planning
- Monitor inventory levels and recommend adjustments to meet service and financial targets.
- Support supply planning by identifying constraints and proposing mitigation strategies.
- SIOP Process Execution
- Prepare data for monthly SIOP meetings.
- Track and report performance metrics to drive accountability and improvement.
- Cross-Functional Collaboration
- Align planning assumptions across sales, operations, and finance.
- Communicate risks and opportunities in supply/demand balance.
- Systems & Reporting
- Maintain planning tools and dashboards.
- Ensure data integrity across ERP and planning systems.
Key Performance Indicators (KPIs):
- Forecast Accuracy – Measure of how closely actual demand aligns with forecasted demand (e.g., MAPE).
- Inventory Turns – Frequency with which inventory is sold and replaced over a period.
- Service Level / Fill Rate – Percentage of customer demand fulfilled without delay.
- Days of Inventory on Hand (DOH) – Efficiency of inventory management.
- SIOP Adherence – Timeliness and completeness of inputs and outputs in the SIOP cycle.
- Backorder Rate – Percentage of orders delayed due to stockouts.
- Obsolete/Excess Inventory – Value or percentage of inventory not aligned with demand.
- Cycle Time for SIOP Reporting – Time taken to generate and distribute SIOP reports.
Qualifications:
- Bachelor’s degree in Supply Chain, Business, Analytics, or related field.
- 3+ years of experience in supply chain planning or SIOP.
- Strong analytical skills; proficiency in Excel, Power BI, and ERP systems.
- Excellent communication and stakeholder management skills.
- Experience with statistical forecasting tools is a plus.
