SIOP Data Analyst

Analyzes and interprets data related to sales, inventory, and operations planning to support effective decision-making. Ensures the integration of data from multiple sources to improve forecasting accuracy, optimize inventory levels, and enhance overall supply chain efficiency.

• Collects, analyzes, and interprets data related to sales, inventory, demand forecasts, and production schedules to support SIOP processes.
• Assists in developing accurate demand forecasts by analyzing historical data, market trends, and sales patterns. Identifies discrepancies between actual and forecasted demand and recommends adjustments.
• Monitors inventory levels and analyzes inventory turnover rates to ensure optimal stock levels. Identifies opportunities to reduce excess inventory while preventing stockouts.
• Generates regular reports and dashboards on key performance metrics, such as forecast accuracy, inventory levels, and service levels. Provides insights and recommendations to improve supply chain performance.
• Works closely with cross‑functional teams, including sales, production, and supply chain, to ensure alignment on demand and supply plans.
• Identifies areas for improvement in the SIOP process and implements best practices to enhance data accuracy, forecasting, and overall supply chain efficiency.
• Ensures the accurate integration of data from various sources, including ERP and supply chain management systems, to support decision‑making.
• Performs other duties as assigned.

• Strong analytical skills and the ability to work with large data sets.
• Proficiency in data analysis tools such as Excel, SQL, or data visualization software (e.g., Power BI, Tableau).
• Experience with ERP systems and familiarity with SIOP processes.
• Excellent problem‑solving skills and attention to detail.
• Strong communication skills to present data insights to stakeholders.
• Knowledge of lean manufacturing and supply chain optimization practices.
• Experience with statistical forecasting and inventory management techniques.

• Bachelor's degree in supply chain management, data analytics, business administration, or a related field, or equivalent experience required.

• Three years of experience in data analysis, demand planning, or supply chain management, preferably in a manufacturing or distribution environment.

Equal Opportunity Employer.

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