Remote Warehouse Data Analytics Specialist

Placements24; Soweto; Hybrid; ZAR 350,000 - 550,000; Full time

Benefits offered by this job

Remote work stipend

Health insurance

PTO

Professional development

Fully remote

Job summary

Placements24 is seeking a highly analytical Remote Warehouse Data Analyst to support Soweto-area operations. You will collect, clean, and interpret data from warehouse processes, develop dashboards, and deliver insights on inventory accuracy, labor productivity, and bottlenecks.

Collaborate with warehouse management and operations teams to drive data-informed decisions, optimize costs, and contribute to continuous improvement across the logistics function from anywhere.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, or a related field.
• Proven experience as a Data Analyst, preferably with warehouse or logistics operations.
• Proficiency in Excel, SQL, and BI tools (Power BI or Tableau).
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication for remote collaboration and presenting insights.

Responsibilities

• Collect, clean, and analyze data related to warehouse operations, including inventory levels, throughput, and labor efficiency.
• Develop and maintain reports and dashboards using data visualization tools to present key findings.
• Identify trends, patterns, and anomalies in warehouse data to pinpoint areas for improvement.
• Collaborate with warehouse management to provide data-driven recommendations for operational enhancements.
• Monitor KPIs and track progress against targets.
• Assist in forecasting and planning activities based on historical data analysis.

Skills

Excel

SQL

Power BI

Tableau

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, or related field

Job description

Placements24 is seeking a highly analytical Remote Warehouse Data Analyst to support Soweto-area operations. You will collect, clean, and interpret data from warehouse processes, develop dashboards, and deliver insights on inventory accuracy, labor productivity, and bottlenecks.

Collaborate with warehouse management and operations teams to drive data-informed decisions, optimize costs, and contribute to continuous improvement across the logistics function from anywhere.