Senior Logistics Data Analyst

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,600,000; Full time

Benefits offered by this job

Fully remote

Job summary

Placements24 is seeking a Senior Logistics Data Analyst to drive data-driven insights across logistics, warehousing, and transportation operations. The role is fully remote within South Africa, enabling you to influence global logistics strategies from anywhere in the country.

The ideal candidate has 7+ years of data analysis experience in logistics, strong skills in SQL, Python or R, and expertise with BI tools like Tableau or Power BI.

Qualifications

• Master's degree or PhD in Logistics, SCM, statistics, math, CS, or related field.
• 7+ years of data analysis experience in logistics or supply chain.
• Proficiency in SQL, Python or R, and BI tools (Tableau/Power BI).

Responsibilities

• Analyze large, complex datasets on logistics, warehousing, and transport.
• Develop and maintain analytical models to forecast demand and optimize resources.
• Design reports and dashboards to visualize KPIs for logistics ops.
• Collaborate with cross-functional teams to translate data needs into insights.
• Mentor junior analysts and enhance the data analytics function.
• Ensure data quality and troubleshoot issues across datasets.

Skills

Advanced analytics

Statistical analysis

Data interpretation

Communication skills

Project management

Education

Master's degree in Logistics or related field

PhD in a quantitative field

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client, a leading innovator in the Logistics & Warehousing domain, is seeking a highly skilled and experienced Senior Logistics Data Analyst to join their esteemed team.

This position is entirely remote, allowing you to contribute your expertise from anywhere within South Africa while driving critical insights for our global operations.

You will be responsible for delving deep into vast datasets to identify trends, optimize supply chain processes, and inform strategic decision-making.

The ideal candidate is a master of data interpretation, possesses advanced analytical capabilities, and excels at communicating complex findings to diverse audiences.

This is a fantastic opportunity to shape logistics strategies through data-driven analysis in a fully remote capacity.

Key Responsibilities

• Analyze large and complex datasets related to logistics, warehousing, and transportation operations.
• Develop, implement, and maintain advanced analytical models to identify trends, forecast demand, and optimize resource allocation.
• Design and generate insightful reports and dashboards that visualize key performance indicators (KPIs) for logistics operations.
• Collaborate with cross-functional teams, including operations, procurement, and IT, to understand data needs and deliver actionable insights.
• Identify opportunities for process improvements and cost reductions through data-driven analysis.
• Provide strategic recommendations to senior management based on thorough data analysis and interpretation.
• Stay current with industry best practices and emerging technologies in data analytics and logistics.
• Develop and refine data collection methodologies to ensure accuracy and completeness.
• Mentor junior analysts and contribute to the development of the data analytics function.
• Troubleshoot data issues and ensure the integrity and reliability of analytical outputs.

Requirements

• Master's degree or PhD in Logistics, Supply Chain Management, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in data analysis, specifically within the logistics or supply chain industry.
• Expertise in statistical analysis, predictive modeling, and data mining techniques.
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, and BI platforms (e.g., Tableau, Power BI).
• Strong understanding of logistics and warehousing principles and operations.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to translate technical findings into business insights.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Experience with large-scale datasets and data warehousing solutions is essential.
• Must be legally eligible to work remotely in South Africa.

Benefits

Our client offers a highly attractive salary and benefits package, reflecting the senior nature of this role and the required expertise. As a fully remote position, you will enjoy unparalleled flexibility and autonomy in managing your work from anywhere in South Africa . This role provides an exceptional platform for professional growth, offering exposure to complex global logistics challenges and the opportunity to influence strategic decisions. Our client is committed to fostering a culture of innovation and continuous learning, providing access to advanced tools and development opportunities. Joining our client means being part of a forward-thinking organization that values data-driven excellence and employee well-being.