Remote Warehouse Data Analyst

Placements24; Mossel Bay; Hybrid; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Professional development

Flexible work-life balance

Job summary

Placements24 is seeking a Remote Warehouse Data Analyst to derive insights from warehouse operations data. You will collect, clean, and analyze large datasets, build KPI dashboards, and forecast inventory needs using statistical methods.

The role emphasizes data visualization, collaboration with IT and operations, and delivering actionable BI to drive efficiency and cost reductions across the warehousing network.

Qualifications

• Bachelor's degree in a quantitative field; master's preferred.
• 3–5 years of data analytics experience in logistics, warehousing, or related fields.
• Strong SQL, data cleaning, and data interpretation skills.

Responsibilities

• Collect, clean, and organize large datasets from WMS/ERPs and other platforms.
• Perform in-depth data analysis to identify trends, patterns, and anomalies.
• Develop and maintain KPI dashboards and reports for stakeholders.
• Use statistical methods and predictive modeling to forecast inventory needs.
• Create compelling data visualizations to communicate findings.
• Identify opportunities for process improvements and cost reductions.
• Collaborate with IT to ensure data integrity and improve data collection/storage.
• Stay updated on industry best practices in data analytics and logistics.
• Provide data-driven recommendations to management for strategic decisions.
• Support ad-hoc data analysis requests as needed.

Skills

SQL

Data analysis

Statistical modeling

Data visualization

Communication

Education

Bachelor's degree in Data Science / Statistics / CS / Mathematics / Logistics

Tools

Python

R

Tableau

Power BI

Job description

About the Role

Our client, a cutting-edge global logistics firm, is seeking a highly analytical and technically skilled Remote Warehouse Data Analyst to drive insights from their extensive warehouse operations data. This fully remote position is ideal for an individual passionate about leveraging data to improve efficiency, reduce costs, and enhance decision-making across our warehousing network. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to inventory, throughput, labor, and operational performance. The successful candidate will possess strong statistical knowledge, advanced proficiency in data visualization tools, and the ability to translate raw data into actionable business intelligence. Working entirely from home, you will collaborate closely with warehouse managers and operational teams to identify trends, forecast needs, and present findings that shape the future of our logistics strategy. We are looking for a data-driven problem-solver who can operate independently and deliver impactful analytical solutions.

Key Responsibilities

• Collect, clean, and organize large datasets from various warehouse management systems (WMS), ERPs, and other operational platforms.


• Perform in-depth data analysis to identify trends, patterns, and anomalies in warehouse operations, including inventory accuracy, throughput, labor productivity, and costs.


• Develop and maintain key performance indicator (KPI) dashboards and reports for various stakeholders, providing clear and actionable insights.


• Utilize statistical methods and predictive modeling to forecast inventory needs, optimize labor allocation, and anticipate operational challenges.


• Create compelling data visualizations and reports to communicate complex analytical findings to both technical and non-technical audiences.


• Identify opportunities for process improvements and cost reductions based on data analysis.


• Collaborate with IT teams to ensure data integrity and implement improvements to data collection and storage processes.


• Stay abreast of industry best practices and emerging technologies in data analytics and logistics.


• Provide data-driven recommendations to management for strategic decision-making related to warehouse operations.


• Support ad-hoc data analysis requests from various departments as needed.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Logistics, or a related quantitative field. Master's degree is a plus.


• Minimum of 3-5 years of experience as a Data Analyst, preferably within the logistics, supply chain, or warehousing sectors.


• Strong proficiency in SQL for data extraction and manipulation.


• Advanced skills in data analysis and visualization tools such as Python (Pandas, NumPy, Matplotlib), R, Tableau, Power BI, or similar.


• Solid understanding of statistical concepts and experience with statistical modeling techniques.


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


• Proven ability to interpret complex data and translate it into clear, actionable business insights.


• Exceptional written and verbal communication skills for presenting findings.


• Experience working in a remote environment with a high degree of autonomy and self-discipline.


• Familiarity with warehouse management systems (WMS) and logistics operations is highly desirable.

Benefits

• Competitive salary commensurate with experience and qualifications.


• Fully remote work arrangement, offering flexibility and work-life balance.


• Comprehensive health, dental, and vision insurance.


• Retirement savings plan.


• Generous paid time off and holidays.


• Opportunities for professional development, certifications, and attending industry conferences.


• Access to cutting-edge analytical tools and technologies.


• A supportive and collaborative virtual team environment.