Job Description

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

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