Remote Supply Chain Analyst: Logistics Optimization

Placements24; Benoni; Hybrid; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Competitive salary

Annual bonus

Remote work setup (home office)

Job summary

Placements24 is seeking a remote Supply Chain Analyst to optimize logistics and supply chain processes for a global e-commerce client. You will analyze complex data, develop dashboards, and collaborate with cross-functional teams to improve efficiency and reduce costs.

Ideal candidates have a strong background in data analysis, inventory management, and proven ability to work independently in a remote environment while communicating findings to stakeholders.

Qualifications

• Bachelor's degree in a related field (SCM, logistics, analytics).
• Minimum 4 years in supply chain analysis, logistics or operations.
• Strong Excel, SQL, and BI tool proficiency (Tableau/Power BI).
• Excellent analytical, quantitative, and problem-solving skills.
• Experience with inventory management principles.
• Able to work independently in a remote setting.
• Strong communication and presentation abilities.
• Familiarity with WMS/TMS is a plus.
• Proactive and detail-oriented mindset.

Responsibilities

• Analyze supply chain data to identify trends and cost reductions.
• Develop dashboards and reports to track KPIs.
• Collaborate with logistics, warehousing, and transport teams.
• Support inventory management strategies to minimize stockouts.
• Conduct market research and competitive analysis.
• Create models and forecasts for demand and supply.
• Present findings to senior management.
• Ensure compliance with regulations and company policies.

Skills

Excel

SQL

BI tools

Education

Bachelor's degree in a related field

Tools

Tableau

Power BI

Job description

Placements24 is seeking a remote Supply Chain Analyst to optimize logistics and supply chain processes for a global e-commerce client. You will analyze complex data, develop dashboards, and collaborate with cross-functional teams to improve efficiency and reduce costs.

Ideal candidates have a strong background in data analysis, inventory management, and proven ability to work independently in a remote environment while communicating findings to stakeholders.