Hybrid Logistics & Supply Chain Data Analyst

Placements24; Polokwane; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Performance bonuses

Hybrid work model

Career progression

Job summary

Placements24 is seeking a Logistics & Supply Chain Analyst in Polokwane, Limpopo, to analyze data across inventory, transportation, warehousing, and order fulfillment. You will build dashboards, identify inefficiencies, and support strategic decision-making in a hybrid work environment.

The role requires 3+ years in data analysis within logistics or operations, strong Excel/SQL skills, and experience with BI tools such as Tableau or Power BI. Bachelor’s in a quantitative field is preferred.

Qualifications

• 3+ years of data analysis experience in logistics, supply chain or operations.
• Strong data analysis skills with Excel, SQL and BI tools.
• Ability to translate data insights into actionable improvements.

Responsibilities

• Collect, clean, and analyze data from logistics sources (WMS, TMS, ERP).
• Develop dashboards and reports to monitor KPIs like delivery times, costs, inventory, and accuracy.
• Identify bottlenecks and recommend data-driven solutions to improve efficiency.
• Conduct cost-benefit analyses for logistics initiatives and changes.
• Support development and implementation of new logistics strategies and processes.
• Collaborate with logistics, operations, and IT to ensure data integrity and system functionality.
• Perform ad-hoc analyses to support strategic decisions and problem-solving.
• Stay current with analytics tools and best practices in logistics.

Skills

Excel advanced

SQL

BI tools (Tableau/Power BI)

Education

Bachelor's degree in quantitative field

Tools

Tableau

Power BI

Job description

Placements24 is seeking a Logistics & Supply Chain Analyst in Polokwane, Limpopo, to analyze data across inventory, transportation, warehousing, and order fulfillment. You will build dashboards, identify inefficiencies, and support strategic decision-making in a hybrid work environment.

The role requires 3+ years in data analysis within logistics or operations, strong Excel/SQL skills, and experience with BI tools such as Tableau or Power BI. Bachelor’s in a quantitative field is preferred.