Hybrid Data-Driven Warehouse Operations Analyst

Placements24; Stellenbosch; Hybride; ZAR 420 000 - 660 000; Plein temps

Résumé du poste

Placements24 in Stellenbosch, Western Cape, is seeking an analytical Warehouse Operations Analyst to support our client's logistics operations. This hybrid role blends data analysis with hands-on process improvement to boost productivity across the warehouse.

You will collect and interpret data from warehouse systems, build dashboards, identify bottlenecks, and propose data-driven solutions. The ideal candidate has strong Excel/SQL skills, experience with WMS, and a degree in a quantitative

Qualifications

• Bachelor’s degree in a quantitative field as listed.
• Strong data analysis and interpretation skills.
• Experience with Excel, SQL and BI tools.
• Familiar with Warehouse Management Systems (WMS).

Responsabilités

• Collect, analyze, and interpret operational data from warehouse systems to identify trends.
• Develop and maintain dashboards to track KPIs like throughput and inventory turns.
• Identify bottlenecks and propose data-driven improvements.
• Support new processes, systems, and technologies in the warehouse.
• Forecast labor, equipment, and space needs.
• Collaborate with management to implement improvement plans.
• Ensure data integrity across reports and analytics.
• Monitor impact of changes and adjust as needed.

Connaissances

Data analysis

Problem-solving

Communication

Formation

Bachelor's degree in Logistics, Supply Chain Management, Business Analytics, Statistics, or related quantitative field

Outils

Excel

SQL

Tableau

Power BI

WMS

Description du poste

Placements24 in Stellenbosch, Western Cape, is seeking an analytical Warehouse Operations Analyst to support our client's logistics operations. This hybrid role blends data analysis with hands-on process improvement to boost productivity across the warehouse.

You will collect and interpret data from warehouse systems, build dashboards, identify bottlenecks, and propose data-driven solutions. The ideal candidate has strong Excel/SQL skills, experience with WMS, and a degree in a quantitative