Remote Warehouse Data Analyst

Placements24; Gqeberha; Hybrid; ZAR 420,000 - 780,000; Full time

Benefits offered by this job

Fully remote

Medical aid

Retirement savings

Professional development

Annual bonuses

Job summary

Placements24 is seeking a Remote Warehouse Data Analyst to join a distributed team. You will collect, analyze large datasets from various WMS and platforms to drive warehouse performance and inventory optimization.

The role emphasizes dashboards (Tableau/Power BI), statistical modeling, and collaboration with operational teams to deliver actionable insights that improve efficiency and reduce costs. A strong background in data science or statistics, proficiency in SQL, Python or R, and excellent

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, CS, Mathematics, Economics, or related quantitative field
• 3–5 years of Data Analyst experience, preferably in logistics, supply chain, or warehouse ops
• Strong SQL skills for data extraction and manipulation
• Experience with Tableau or Power BI for dashboards
• Advanced knowledge of statistical analysis and modeling techniques
• Experience with Python or R for data analysis and modeling is highly desirable
• Excellent analytical, problem-solving, and communication skills
• Reliable internet connection and a dedicated home office setup

Responsibilities

• Collect, clean, and analyze large datasets from WMS and operational platforms
• Develop and maintain dashboards and reports to visualize KPIs for warehouse operations, inventory, and productivity
• Identify trends and anomalies to drive operational improvements and cost savings
• Collaborate remotely with operational teams and stakeholders to understand data needs
• Develop predictive models to forecast demand and optimize inventory levels
• Design and conduct A/B tests for new operational strategies
• Ensure data accuracy, integrity, and security across reporting
• Present findings and recommendations clearly to management and teams

Skills

SQL

Data analysis

Statistical modeling

Python

R

Communication

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

Tableau

Power BI

Python

R

Job description

About the Role

Our client, a forward-thinking logistics technology company, is seeking a talented and motivated Remote Warehouse Data Analyst to join their distributed team. This fully remote position allows you to leverage your analytical expertise to drive improvements in warehouse operations across multiple locations, without the need for on-site presence. You will be responsible for collecting, analyzing, and interpreting large datasets related to warehouse performance, inventory management, and operational efficiency. The ideal candidate has a strong background in data analysis, excellent technical skills, and the ability to translate complex data into actionable insights for operational teams. This is a unique opportunity to shape the future of logistics operations from anywhere, contributing significantly to our client's data-driven decision-making processes. Your insights will directly impact efficiency, cost reduction, and overall performance in our client's global warehousing network.

Key Responsibilities

• Collect, clean, and analyze large datasets from various warehouse management systems (WMS) and operational platforms.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) for warehouse operations, inventory levels, and productivity.
• Identify trends, patterns, and anomalies in data to pinpoint areas for operational improvement and cost savings.
• Collaborate remotely with operational teams, warehouse managers, and stakeholders to understand their data needs and provide actionable insights.
• Develop predictive models to forecast demand, optimize inventory levels, and improve resource allocation.
• Design and conduct A/B tests for new operational strategies and measure their impact.
• Ensure data accuracy, integrity, and security across all reporting and analytical functions.
• Stay updated on the latest data analysis tools, techniques, and industry best practices.
• Present findings and recommendations to management and operational teams in a clear and concise manner.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Proven experience (3-5 years) as a Data Analyst, preferably with experience in logistics, supply chain, or warehouse operations.
• Strong proficiency in SQL for data extraction and manipulation.
• Expertise in data visualization tools such as Tableau, Power BI, or similar.
• Advanced knowledge of statistical analysis and modeling techniques.
• Experience with Python or R for data analysis and modeling is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Must have a reliable internet connection and a dedicated home office setup.

Benefits

• Competitive annual salary of R .
• Fully remote work environment, offering unparalleled flexibility.
• Opportunity to work with cutting-edge logistics technology and data platforms.
• Contribution to medical aid and retirement savings.
• Professional development opportunities and potential for advancement.
• Annual performance bonuses.