Remote Supply Chain Analytics Specialist

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

Benefits offered by this job

Competitive salary

Remote work

Health insurance

Job summary

Placements24 is seeking a highly analytical Remote Supply Chain Analyst to join their team. The role focuses on leveraging data to identify trends, optimize processes, and enhance efficiency in a global supply chain, working remotely from South Africa.

You will analyze complex datasets, develop reports, and provide strategic recommendations to senior management, with independent work from your remote location. A strong background in analytics and data visualization is essential.

Qualifications

• Bachelor's degree in Supply Chain Management, Analytics, Statistics, Economics, or a related field.

Responsibilities

• Analyze supply chain performance metrics to identify improvement areas and cost savings.
• Develop and maintain dashboards and reports to track KPIs and operational efficiency.
• Conduct data modeling and forecasting to predict demand, inventory needs, and risks.
• Collaborate with internal teams and external partners to implement data-driven supply chain strategies.
• Research industry best practices and emerging technologies to recommend process enhancements.
• Present findings and strategic recommendations to stakeholders clearly and concisely.

Skills

Excel

SQL

Data visualization

Tableau

Power BI

Remote work independence

Education

Bachelor's degree in Supply Chain Management, Analytics, Statistics, Economics, or related field

Tools

Tableau

Power BI

ERP systems

Job description

Placements24 is seeking a highly analytical Remote Supply Chain Analyst to join their team. The role focuses on leveraging data to identify trends, optimize processes, and enhance efficiency in a global supply chain, working remotely from South Africa.

You will analyze complex datasets, develop reports, and provide strategic recommendations to senior management, with independent work from your remote location. A strong background in analytics and data visualization is essential.