Remote Logistics Analyst - Supply Chain Optimization

Placements24; United States; Remote; USD 26,000 - 52,000; Full time

Benefits offered by this job

Medical aid

Retirement contributions

Remote work flexibility

Professional growth opportunities

Job summary

Placements24 is seeking a highly analytical Remote Logistics Analyst to optimize distribution networks and transportation strategies across regions. The role requires advanced data analysis skills, experience with SQL/Python/R, and proficiency in visualization tools to drive cost-efficiency and service improvements.

You will develop KPIs, forecast demand, and collaborate with operations, procurement, and sales to implement optimized solutions in a fully remote setting.

Qualifications

• Bachelor's degree in Logistics, Supply Chain, Data Science or related quantitative field.
• 3+ years of experience in logistics or supply chain analytics.
• Strong proficiency in SQL, Python or R for data analysis.
• Experience with data visualization tools like Tableau or Power BI.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Analyze large datasets related to transportation, warehousing, and inventory management to identify trends and opportunities for improvement.
• Develop and maintain KPIs to monitor logistics efficiency and effectiveness.
• Use SQL/Python/R to extract, clean, and visualize data.
• Conduct cost-benefit analyses for proposed logistics improvements and network changes.
• Collaborate with cross-functional teams to implement optimized solutions.
• Forecast demand and capacity to ensure efficient resource allocation.
• Prepare reports and presentations for senior management outlining findings and recommendations.
• Support development and implementation of new logistics strategies and technologies.
• Troubleshoot and resolve complex logistics issues identified through data analysis.

Skills

Analytical thinking

Problem-solving

Communication

Remote work

Education

Bachelor's degree in Logistics, Supply Chain, Data Science or related quantitative field

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client, a global leader in supply chain management and logistics solutions, is seeking a highly analytical and data-driven Remote Logistics Analyst. This position is crucial for optimizing our client's complex distribution networks and transportation strategies across various regions. The analyst will leverage advanced data analysis tools and methodologies to identify inefficiencies, forecast demand, and recommend strategic improvements to enhance cost-effectiveness and service levels. This is a fully remote role, offering the flexibility to work from anywhere within South Africa, provided a stable internet connection and a dedicated home office environment are maintained. The successful candidate will be a proactive problem-solver with a passion for dissecting complex data to drive impactful business decisions and contribute to the seamless flow of goods in a dynamic global market.

Key Responsibilities

• Analyze large datasets related to transportation, warehousing, and inventory management to identify trends and opportunities for improvement.


• Develop and maintain key performance indicators (KPIs) to monitor the efficiency and effectiveness of logistics operations.


• Utilize advanced analytics software (e.g., SQL, Python, R, Tableau) to extract, clean, and visualize data.


• Conduct cost-benefit analyses for proposed logistics improvements and network changes.


• Collaborate with cross-functional teams, including operations, procurement, and sales, to implement optimized solutions.


• Forecast demand and capacity requirements to ensure efficient resource allocation.


• Stay abreast of industry best practices, emerging technologies, and regulatory changes in logistics and supply chain management.


• Prepare comprehensive reports and presentations for senior management, outlining findings and strategic recommendations.


• Support the development and implementation of new logistics strategies and technologies.


• Troubleshoot and resolve complex logistics and supply chain issues identified through data analysis.

Requirements

• Bachelor's degree in Logistics, Supply Chain Management, Data Science, Statistics, Operations Research, or a related quantitative field.


• Proven experience (3+ years) as a Logistics Analyst, Supply Chain Analyst, or similar role.


• Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.


• Experience with data visualization tools like Tableau or Power BI.


• Excellent analytical, problem-solving, and critical thinking skills.


• Deep understanding of logistics principles, transportation modes, and supply chain operations.


• Ability to manage multiple projects simultaneously in a remote work environment.


• Exceptional communication and presentation skills, with the ability to explain complex data insights to non-technical stakeholders.


• Self-motivated, organized, and able to work independently with minimal supervision.


• Must have a reliable internet connection and a suitable home office setup.

Benefits

• This fully remote position offers a highly competitive salary and comprehensive benefits package, including medical aid and retirement contributions.


• Our client values work-life balance and provides the flexibility inherent in a remote role.


• Significant opportunities for professional growth and career advancement within a global organization are available.


• Employees benefit from access to cutting-edge analytical tools and platforms.


• Our client invests heavily in continuous learning and development, offering access to training, certifications, and workshops in supply chain analytics and logistics technology.


• You will be part of a collaborative and innovative team that is shaping the future of global logistics.


• The opportunity to work on challenging, impactful projects with international scope is significant.


• We foster a culture of inclusivity and provide equal opportunities for all employees, regardless of their location.