Remote Supply Chain Analyst

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 350,000 - 700,000; Full time

Benefits offered by this job

Remote work

Bonuses possible

Health insurance

Professional development

Collaborative virtual culture

Job summary

Placements24 in South Africa is seeking a proactive Remote Supply Chain Analyst to optimize inventory, logistics, and processes from home. You will collect and analyze data, identify trends, and provide insights to improve efficiency and reduce costs across the Mpumalanga region and beyond.

The ideal candidate holds a bachelor's in SCM, Logistics, or related field, with at least 3 years of analytics experience and proficiency in Excel, SQL, Tableau or Power BI.

Qualifications

• Bachelor's degree in a related field.
• Minimum of 3 years of experience in supply chain analysis or a related role.
• Proficiency in data analysis tools (Excel, SQL, Tableau/Power BI).
• Strong analytical, problem-solving, and communication skills.
• Experience with ERP systems and supply chain planning software is a plus.

Responsibilities

• Collect, analyze, and interpret supply chain data including inventory levels, lead times, and transportation costs.
• Develop reports and dashboards to track KPIs and identify improvement areas.
• Identify opportunities to optimize inventory management and reduce carrying costs.
• Collaborate with procurement, logistics, and manufacturing teams to ensure seamless operations.
• Assist in forecasting demand and developing supply chain strategies.
• Stay updated on trends and best practices in supply chain management.

Skills

Analytical thinking

Communication

Remote collaboration

Education

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

Tools

Excel

SQL

Tableau

Power BI

Job description

About the Role

Our client is seeking a proactive and analytical Remote Supply Chain Analyst to enhance their supply chain operations. This position is fully remote, allowing you to contribute to optimizing inventory levels, improving logistics, and streamlining processes from your home office. You will be responsible for collecting and analyzing supply chain data, identifying trends, and providing insights to improve efficiency and reduce costs. The ideal candidate possesses strong analytical skills, proficiency in data analysis tools, and the ability to communicate effectively with cross-functional teams in a virtual setting, supporting operations across the Mpumalanga region and beyond.

Key Responsibilities

• Collect, analyze, and interpret supply chain data, including inventory levels, lead times, and transportation costs.
• Develop reports and dashboards to track key performance indicators (KPIs) and identify areas for improvement.
• Identify opportunities to optimize inventory management, reduce carrying costs, and improve product availability.
• Collaborate with procurement, logistics, and manufacturing teams to ensure seamless supply chain operations.
• Assist in forecasting demand and developing supply chain strategies to meet business objectives.
• Stay updated on industry trends and best practices in supply chain management.

Requirements

• Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, or a related field.
• Minimum of 3 years of experience in supply chain analysis, logistics, or a related role.
• Proficiency in data analysis tools such as Excel, SQL, and business intelligence software (e.g., Tableau, Power BI).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, comfortable working in a remote environment .
• Experience with ERP systems and supply chain planning software is a plus.

Benefits

• Competitive annual salary and potential for performance bonuses.
• Full remote work flexibility, enabling work-life balance.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development, including supply chain certifications.
• A collaborative and supportive virtual team culture that values data-driven decision-making.