Logistics Data Analyst Job at Screen Spe in Phoenix

We are seeking a highly analytical and detail-oriented Logistics Data Analyst with a minimum of 5 years of experience in data analysis related to sales performance and inventory levels. This role is critical to optimizing our supply chain operations, improving forecasting accuracy, and supporting strategic decision-making across logistics and sales functions.

Essential Job Duties & Responsibilities:

• Analyze sales trends and inventory data to identify patterns, risks, and opportunities for optimization.
• Develop and maintain dashboards and reports that provide actionable insights to logistics, sales, and operations teams.
• Collaborate with cross-functional teams to align inventory planning with sales forecasts and customer demand.
• Monitor key performance indicators (KPIs) such as inventory turnover, stockouts, and order fulfillment rates.
• Support demand planning and replenishment strategies using historical data and predictive analytics.
• Identify inefficiencies in inventory management and recommend data-driven solutions.
• Ensure data integrity across ERP and inventory systems; troubleshoot discrepancies and improve data workflows.
• Present findings and recommendations to stakeholders through clear visualizations and executive summaries.

Job Requirements:

• Strong proficiency in data analysis tools such as Excel, SQL, Power BI, Tableau, or similar platforms.
• Experience working with ERP systems (e.g., SAGE100, Ariba).
• Solid understanding of inventory management principles and sales forecasting techniques.
• Excellent communication skills and ability to translate complex data into actionable insights.
• Detail-oriented with strong problem-solving and organizational skills
• Experience with Excel, SQL, Power BI and Python data modeling in a logistics environment.

Education & Experience:

• Bachelor’s Degree in Supply Chain Management, Business Analytics, Statistics, or related field.
• Minimum 5 years of experience in Logistics, Supply Chain, or Operations Analytics with a focus on sales and inventory data.