Logistics Data Analyst

Placements24; Mossel Bay; On-site; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary package

Medical aid & retirement fund

Professional development

Paid time off

Wellness programs

Mossel Bay location

Job summary

Placements24 is seeking a highly analytical Logistics Data Analyst for Mossel Bay, Western Cape. The role involves transforming complex logistics data into actionable insights, collecting, cleaning, and analyzing data from WMS, TMS, and ERP systems to improve efficiency.

You will develop dashboards in Tableau or Power BI, work with SQL and Excel, and present findings to both technical and business audiences.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Minimum of 3 years of experience in data analysis, preferably in logistics or supply chain.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau or Power BI.
• Advanced Excel skills (pivot tables, formulas, VBA).
• Experience with statistical analysis and modeling techniques.

Responsibilities

• Collect, clean, and prepare large datasets from WMS, TMS, and ERP systems.
• Perform in-depth data analysis to identify trends and anomalies in logistics operations.
• Develop and maintain dashboards/reports using Tableau/Power BI to track KPIs.
• Analyze transportation costs, delivery times, inventory levels, and warehouse metrics.
• Identify opportunities for cost reduction and process improvements in the supply chain.
• Collaborate with logistics managers to understand data needs and provide insights.
• Develop predictive models to forecast demand and optimize inventory.
• Present findings to stakeholders in a clear, concise manner.
• Ensure data integrity via quality checks and validation.

Skills

Analytical thinking

Problem solving

Communication

Attention to detail

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Logistics, Supply Chain or related field

Tools

SQL

Tableau

Power BI

Excel (advanced)

Python

R

Job description

About the Role

Our client, a leading entity in the Logistics & Warehousing sector, is seeking a highly analytical and detail-oriented Logistics Data Analyst to join their operations in Mossel Bay, Western Cape. This role is crucial for transforming complex logistics data into actionable insights that drive strategic decision-making and operational improvements. You will be responsible for collecting, cleaning, analyzing, and visualizing data related to transportation, warehousing, inventory, and supply chain performance. The ideal candidate will possess a strong quantitative background, excellent problem-solving skills, and the ability to communicate findings clearly to both technical and non-technical audiences. This is an exciting opportunity to contribute to the efficiency and effectiveness of our client's supply chain within the beautiful coastal region of Mossel Bay.

Key Responsibilities

• Collect, clean, and prepare large datasets from various logistics sources, including WMS, TMS, and ERP systems.
• Perform in-depth data analysis to identify trends, patterns, and anomalies in logistics operations.
• Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to track key performance indicators (KPIs).
• Analyze transportation costs, delivery times, inventory levels, and warehouse efficiency metrics.
• Identify opportunities for cost reduction and process improvements within the supply chain.
• Collaborate with logistics managers and operational teams to understand their data needs and provide relevant insights.
• Develop predictive models to forecast demand, optimize inventory levels, and improve delivery reliability.
• Present findings and recommendations to stakeholders in a clear, concise, and impactful manner.
• Ensure data integrity and accuracy by implementing data quality checks and validation processes.
• Stay abreast of industry trends and best practices in data analytics and logistics.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Logistics, Supply Chain Management, or a related quantitative field.
• Minimum of 3 years of experience in data analysis, preferably within the logistics or supply chain industry.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau, Power BI, or similar.
• Advanced skills in Excel (e.g., pivot tables, complex formulas, VBA).
• Experience with statistical analysis and modeling techniques.
• Excellent analytical and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
• Familiarity with warehouse management systems (WMS) and transportation management systems (TMS) is a plus.
• Knowledge of Python or R for data analysis is advantageous.

Benefits

• Our client offers a competitive salary package, complemented by performance-based incentives.
• Employees receive comprehensive medical aid, retirement fund contributions, and opportunities for professional development, including relevant training courses and workshops.
• Additional benefits include paid time off and access to company-sponsored wellness programs.
• You will work in a supportive and collaborative environment in Mossel Bay, Western Cape, contributing to impactful projects.