Slotting Analyst

Job Title: Slotting Analyst- Supply Chain Location: City of Industry, CA (25% Travel) Job Type: Contract through 4/31/2026 with potential for extension or conversion Overview: We are looking for a skilled and analytical Slotting Analyst to join our inventory control focused supply chain team. The ideal candidate will have 3–5 years of experience in warehouse data analysis with a strong command of SQL and Excel. This role will play a critical part in turning complex data into actionable insights to drive decision-making for a major supply chain modernization initiative. Key Responsibilities: Warehouse Flow Analysis: • Conduct on-site audits of warehouse pick paths and travel patterns. • Map and document building layouts, including shelving levels and order picker zones. • Evaluate how associates currently group work and navigate through locations. Slotting Optimization: • Analyze inventory data to determine optimal product placement. • Develop slotting strategies that reduce travel time and improve picking efficiency. Data Analysis & Reporting: • Pull and manipulate data using SQL queries. • Apply advanced Excel formulas to calculate and visualize slotting paths • Prepare reports and recommendations for operational improvements. Collaboration: • Partner with local operations teams to understand current processes and pain points. • Communicate findings and proposed changes to stakeholders effectively. Qualifications: • Bachelor’s degree in Data Analytics, Supply Chain Management, Industrial Engineering, Computer Science, Statistics, or related field • 3–5 years of experience minimum in a supply chain analyst role • Intermediate to Advanced SQL skills, with experience querying and transforming large data sets • Advanced Excel experience (including manual formulas) • Inventory management experience • Strong understanding of supply chain concepts and key performance indicators (KPIs) • High attention to detail, data accuracy, and analytical thinking • Excellent communication skills and the ability to present insights to both technical and non-technical audiences Preferred Qualifications: • Experience with SAP Warehouse Management or EWM • Experience with data warehouses (e.g., Snowflake) • Background in Industrial Engineering or Lean Process Improvement • Knowledge of warehouse slotting principles