Logistics Data Analyst (Hybrid) – Drive Efficiency & Savings

Placements24; Gqeberha; Hybrid; ZAR 300,000 - 420,000; Full time

Benefits offered by this job

Hybrid work model

Medical and retirement benefits

Professional development resources

Collaborative work environment

Competitive salary

Job summary

Placements24 in Port Elizabeth is seeking a sharp Logistics Analyst to join our team in a hybrid role, focusing on analyzing complex logistics data, identifying trends, and recommending data-driven improvements to optimize supply chain efficiency and reduce costs.

The ideal candidate has a quantitative background, 2+ years in a logistics analytics role, and proficiency in Excel, SQL, and data visualization tools.

Qualifications

• 2+ years of experience in a logistics analyst or similar data-focused role.
• Proficiency in Excel, SQL, and data visualization software.
• Strong understanding of supply chain principles and logistics operations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Good communication skills, with the ability to present findings clearly.

Responsibilities

• Collect, interpret, and analyze logistics and supply chain data.
• Develop reports and dashboards to track KPIs for logistics operations.
• Identify inefficiencies in the supply chain and propose cost-saving solutions.
• Support the planning and execution of transportation and warehousing activities.
• Collaborate with internal teams and external partners to implement process improvements.
• Research industry best practices and emerging logistics technologies.

Skills

Analytical thinking

Problem solving

Communication

Attention to detail

Education

Bachelor's degree in Supply Chain Management, Logistics, Data Analytics, or related field

Tools

Excel

SQL

Power BI

Tableau

Job description

Placements24 in Port Elizabeth is seeking a sharp Logistics Analyst to join our team in a hybrid role, focusing on analyzing complex logistics data, identifying trends, and recommending data-driven improvements to optimize supply chain efficiency and reduce costs.

The ideal candidate has a quantitative background, 2+ years in a logistics analytics role, and proficiency in Excel, SQL, and data visualization tools.