Supply Chain Analyst - FMCG

Placements24; United States; Remote; USD 75,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Professional development

Data-driven environment

Job summary

Placements24 is seeking a detail-oriented Supply Chain Analyst to optimize FMCG operations through data analytics. This fully remote role focuses on inventory, logistics, and demand planning, enabling timely delivery and cost efficiency.

You will build dashboards, analyze trends, and collaborate with procurement, sales, and logistics teams to forecast demand and drive continuous improvement. A bachelor’s degree and strong Excel/SQL/BI skills are required, and remote-work experience is valued.

Qualifications

• Bachelor's degree required in a related field.
• Strong analytical, problem-solving and quantitative skills are essential.
• Proficiency with data analysis tools (Excel, SQL, BI software).
• Solid understanding of supply chain principles, logistics, and inventory management.

Responsibilities

• Analyze supply chain data to identify trends and inefficiencies in inventory, logistics, and forecasting.
• Develop and maintain dashboards and reports to track KPIs for supply chain operations.
• Collaborate with logistics, procurement, and sales teams to forecast demand and optimize inventory levels.
• Support implementation of new supply chain technologies and process improvements.
• Identify cost-saving opportunities and contribute to budget management.
• Monitor supplier performance and contribute to continuous supplier relationship improvement.

Skills

Analytical thinking

Problem solving

Quantitative skills

Excel

SQL

Tableau

Power BI

Education

Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, or related field

Tools

Excel

SQL

Tableau

Power BI

Job description

About the Role

Our client is seeking a detail-oriented and analytical Supply Chain Analyst to join their forward-thinking team, operating predominantly remotely. This role is crucial for optimizing the efficiency and effectiveness of our FMCG supply chain operations, ensuring timely delivery and cost-effectiveness. You will leverage data analytics to identify bottlenecks, improve processes, and support strategic decision-making across inventory management, logistics, and demand planning. This fully remote position is perfect for a data-driven professional looking to make a substantial impact on operational excellence from anywhere in Randburg or beyond.

Key Responsibilities

• Analyze supply chain data to identify trends, inefficiencies, and areas for improvement in inventory, logistics, and forecasting.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) for supply chain operations.
• Collaborate with logistics, procurement, and sales teams to forecast demand and optimize inventory levels.
• Support the implementation of new supply chain technologies and process improvements.
• Identify cost-saving opportunities and contribute to budget management for supply chain operations.
• Monitor supplier performance and contribute to the continuous improvement of supplier relationships.

Requirements

• Proven experience as a Supply Chain Analyst or in a similar analytical role, preferably in FMCG.
• Strong analytical, problem-solving, and quantitative skills.
• Proficiency in data analysis tools such as Excel, SQL, and BI software (e.g., Tableau, Power BI).
• Excellent understanding of supply chain principles, logistics, and inventory management.
• Ability to work independently and communicate effectively in a remote environment.
• Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, or a related field.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work arrangement offering significant flexibility.
• Opportunities for professional development and advanced training in supply chain analytics.
• Exposure to complex supply chain challenges and innovative solutions.
• A collaborative team environment focused on data-driven decision-making.