Remote Logistics and Supply Chain Analyst

Placements24; Noord-Kaap; Hybrid; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Bonuses

Health insurance

PTO

Remote work

Professional development

Software access

Job summary

Placements24 is seeking a data-driven Remote Logistics and Supply Chain Analyst to join our team. You will analyze complex logistics data, develop actionable insights, and support strategic decisions from a fully remote setting.

You will collaborate with stakeholders, build dashboards, forecast demand, optimize inventory, and identify cost-saving opportunities using advanced analytical tools and methodologies.

Qualifications

• Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, Statistics, or a related field.
• 2+ years of experience in a logistics or supply chain analysis role.
• Proficiency in data analysis tools such as Excel (advanced functions, VBA), SQL, and preferably Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.

Responsibilities

• Collect, clean, and analyze large datasets related to logistics operations, transportation, and inventory management.
• Develop and maintain dashboards and reports to track KPIs and identify areas for improvement.
• Conduct in-depth analysis of supply chain processes to identify bottlenecks, inefficiencies, and cost-saving opportunities.
• Model different scenarios to forecast demand, optimize inventory levels, and improve delivery networks.
• Collaborate with logistics, operations, and finance teams to implement data-driven strategies and solutions.
• Present findings and recommendations to management and stakeholders in a clear and concise manner.

Skills

Analytical thinking

Communication skills

Education

Bachelor's degree in Supply Chain Management or related field

Tools

Excel

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is looking for a data-driven and analytical Remote Logistics and Supply Chain Analyst to join their team. In this fully remote role, you will be responsible for analyzing complex logistics data, identifying trends, and developing actionable insights to improve efficiency, reduce costs, and enhance overall supply chain performance. You will work closely with various stakeholders to provide data-backed recommendations and support strategic decision-making. This is an excellent opportunity for an individual with a strong quantitative background and a passion for optimizing supply chain operations from a remote setting, utilizing advanced analytical tools and methodologies.

Key Responsibilities

• Collect, clean, and analyze large datasets related to logistics operations, transportation, and inventory management.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) and identify areas for improvement.
• Conduct in-depth analysis of supply chain processes to identify bottlenecks, inefficiencies, and cost-saving opportunities.
• Model different scenarios to forecast demand, optimize inventory levels, and improve delivery networks.
• Collaborate with logistics, operations, and finance teams to implement data-driven strategies and solutions.
• Present findings and recommendations to management and stakeholders in a clear and concise manner.

Requirements

• Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, Statistics, or a related field.
• 2+ years of experience in a logistics or supply chain analysis role.
• Proficiency in data analysis tools such as Excel (advanced functions, VBA), SQL, and preferably Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a significant advantage.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible remote work arrangements.
• Opportunities for professional development, including relevant certifications and training.
• Access to state-of-the-art analytical software and resources.