Strategic Logistics Optimization Analyst (Hybrid)

Placements24; Randburg; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work arrangement

Medical benefits

Retirement plan

Job summary

Placements24 in Randburg, Gauteng, is seeking an analytical Logistics Planning & Optimization Analyst for a hybrid role that blends remote work with in-office collaboration. You will analyze complex logistics data to optimize transportation, warehousing, and inventory management, and present actionable recommendations to cross-functional teams.

The ideal candidate has 6+ years in logistics analytics, strong Excel/SQL skills, and a proven ability to translate data into tangible improvements

Qualifications

• Bachelor's degree in Logistics, Supply Chain Management, Industrial Engineering, Data Science, or related quantitative field.
• Minimum 6 years of experience in logistics planning, supply chain analysis, or operations research.
• Strong data analysis, modeling, and optimization skills.
• Proficiency in Excel, SQL; familiarity with Python/R is a plus.

Responsibilities

• Analyze current logistics operations including transportation routes, warehouse layouts, and inventory strategies.
• Identify cost reduction and efficiency improvement opportunities across the supply chain.
• Develop and implement optimized logistics plans including network design and routing strategies.
• Forecast demand and manage inventory using advanced analytical tools.

Skills

Data analysis

Optimization techniques

Forecasting demand

Communication

Education

Bachelor's degree in Logistics, Supply Chain Management, Industrial Engineering, Data Science, or related quantitative field

Tools

Excel

SQL

Python

R

Optimization software

Job description

Placements24 in Randburg, Gauteng, is seeking an analytical Logistics Planning & Optimization Analyst for a hybrid role that blends remote work with in-office collaboration. You will analyze complex logistics data to optimize transportation, warehousing, and inventory management, and present actionable recommendations to cross-functional teams.

The ideal candidate has 6+ years in logistics analytics, strong Excel/SQL skills, and a proven ability to translate data into tangible improvements