Remote Logistics Data Analyst: Drive Supply Chain Insights

Placements24; Centurion; Hybrid; ZAR 420,000 - 720,000; Full time

Benefits offered by this job

Competitive salary

Bonus opportunities

Professional development

Flexible remote work

Provident fund

Access to analytics tools

Job summary

Placements24 seeks a meticulous Logistics Data Analyst to join a Centurion-based team. You will collect, clean, and analyze large logistics datasets, build dashboards, and model demand to optimize inventory and routes in a fully remote arrangement.

The ideal candidate has a bachelor's degree in a quantitative field, 3+ years of data analysis experience in logistics, and proficiency with SQL, Python or R, plus Tableau or Power BI. Strong communication and problem solving are essential.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Minimum 3 years of data analysis experience in logistics or supply chain preferred.
• Strong proficiency in SQL, Python or R and BI visualization tools.

Responsibilities

• Collect, clean, and analyze large datasets related to logistics operations.
• Develop and maintain dashboards and reports to visualize KPIs and trends.
• Identify inefficiencies and improvements in the supply chain using data-driven insights.
• Collaborate with logistics managers to understand data needs and provide analytical support.
• Build predictive models to forecast demand, optimize inventory, and improve routes.
• Conduct root cause analysis for operational issues and recommend solutions.

Skills

Analytical thinking

Problem solving

Communication

Data interpretation

Attention to detail

Education

Bachelor's degree in quantitative field

Tools

SQL

Python

R

Tableau

Power BI

Job description

Placements24 seeks a meticulous Logistics Data Analyst to join a Centurion-based team. You will collect, clean, and analyze large logistics datasets, build dashboards, and model demand to optimize inventory and routes in a fully remote arrangement.

The ideal candidate has a bachelor's degree in a quantitative field, 3+ years of data analysis experience in logistics, and proficiency with SQL, Python or R, plus Tableau or Power BI. Strong communication and problem solving are essential.