Logistics Data Analyst

Placements24; Midrand; Hybrid; ZAR 480,000 - 720,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Retirement savings plan

Paid time off

Professional development

Hybrid work environment

Exposure to analytics techniques

Job summary

Placements24 is seeking a Logistics Data Analyst to transform raw logistics data into actionable insights that drive operational improvements, cost reductions, and better decision-making across a global supply chain. This hybrid role combines on-site collaboration in Midrand with remote flexibility.

Key duties include collecting and cleaning large datasets, building dashboards to visualize KPIs, forecasting transportation costs and delivery times, evaluating carrier performance, and providing

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Logistics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably with a focus on logistics or supply chain.
• Proficiency in SQL, Python, or R.
• Strong experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent understanding of logistics and supply chain concepts.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to communicate complex analytical findings clearly to both technical and non-technical audiences.
• Proficiency in Microsoft Excel, including advanced functions.
• Experience working in a hybrid work environment.
• Knowledge of statistical modeling techniques is a plus.

Responsibilities

• Collect, clean, and organize large datasets related to logistics operations, including transportation, warehousing, and inventory.
• Analyze data to identify trends, patterns, and anomalies in supply chain performance.
• Develop and maintain dashboards and reports to visualize key logistics metrics and performance indicators (KPIs).
• Identify opportunities for cost savings and efficiency improvements within the logistics network based on data analysis.
• Collaborate with logistics managers and other stakeholders to understand their data needs and provide analytical support.
• Develop predictive models to forecast transportation costs, delivery times, and inventory needs.
• Evaluate the performance of carriers and logistics providers based on established metrics.
• Support the implementation of new logistics technologies and systems by providing data analysis and insights.
• Ensure data integrity and accuracy across all logistics reporting.
• Stay updated on industry best practices and new analytical tools and techniques.

Skills

SQL

Python

R

Excel

Analytics

Data Visualization

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Power BI

Job description

About the Role

Our client, a dynamic multinational corporation with significant operations in Midrand, is seeking a sharp and analytical Logistics Data Analyst to join their growing supply chain team. This role is crucial for transforming raw logistics data into actionable insights that drive operational improvements, cost reductions, and enhanced decision-making. The ideal candidate will possess strong quantitative skills, proficiency in data analysis tools, and a solid understanding of logistics and transportation principles. This hybrid position requires a balance of on-site collaboration and remote flexibility. If you are passionate about uncovering trends, optimizing processes through data, and contributing to the efficiency of a complex global supply chain, this is an excellent opportunity.

Key Responsibilities

• Collect, clean, and organize large datasets related to logistics operations, including transportation, warehousing, and inventory.
• Analyze data to identify trends, patterns, and anomalies in supply chain performance.
• Develop and maintain dashboards and reports to visualize key logistics metrics and performance indicators (KPIs).
• Identify opportunities for cost savings and efficiency improvements within the logistics network based on data analysis.
• Collaborate with logistics managers and other stakeholders to understand their data needs and provide analytical support.
• Develop predictive models to forecast transportation costs, delivery times, and inventory needs.
• Evaluate the performance of carriers and logistics providers based on established metrics.
• Support the implementation of new logistics technologies and systems by providing data analysis and insights.
• Ensure data integrity and accuracy across all logistics reporting.
• Stay updated on industry best practices and new analytical tools and techniques.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Logistics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably with a focus on logistics or supply chain.
• Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Strong experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent understanding of logistics and supply chain concepts.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
• Proficiency in Microsoft Excel, including advanced functions.
• Experience working in a hybrid work environment.
• Knowledge of statistical modeling techniques is a plus.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan.
• Paid time off and holidays.
• Opportunities for professional development and training in data analytics.
• A stimulating hybrid work environment with flexible scheduling options.
• Exposure to cutting-edge logistics data analysis techniques.