Remote Warehouse Data Analyst

Placements24; Paarl; Hybrid; ZAR 260,000 - 420,000; Full time

Benefits offered by this job

Competitive salary

Flexible work hours

Professional development

Comprehensive health insurance

Collaborative remote culture

Job summary

Placements24 is seeking a skilled Remote Warehouse Data Analyst to enhance operational efficiency through data-driven insights. You will collect, analyze, and interpret large warehouse data sets to drive improvements in inventory management, order fulfillment, and workflows, supporting multiple warehouse locations including those near Paarl.

The role requires a strong command of SQL, Python, R, Tableau and Power BI, with experience in data modeling and statistical methods.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, preferably in warehouse/logistics.
• Strong proficiency in data analysis and visualization tools (e.g., SQL, Python, R, Tableau, Power BI).
• Excellent understanding of statistical methods and data modeling techniques.
• Ability to interpret complex data and translate it into clear business insights.
• Attention to detail and strong organizational skills for a remote role.

Responsibilities

• Collect, clean, and analyze large datasets from warehouse operations systems.
• Develop and maintain dashboards and reports for key warehouse metrics.
• Identify trends, patterns, and anomalies to pinpoint inefficiencies.
• Provide actionable recommendations to management for improving productivity, accuracy, and cost-effectiveness.
• Collaborate with warehouse managers and operations teams to implement data-driven solutions.
• Forecast future inventory needs and operational requirements based on historical data.

Skills

SQL

Python

R

Tableau

Power BI

Education

Bachelor's degree in Data Science/Statistics/CS

Tools

Tableau

Power BI

Excel

Job description

About the Role

Our client is seeking a skilled and analytical Remote Warehouse Data Analyst to enhance their operational efficiency through data-driven insights. This position is entirely remote, offering the convenience and flexibility of working from home. You will be responsible for collecting, analyzing, and interpreting vast amounts of warehouse data to identify areas for improvement in inventory management, order fulfillment, and operational workflows. Your findings will be critical in guiding strategic decisions and implementing process enhancements across our client's various warehouse locations, including those near Paarl . This role is ideal for a detail-oriented analyst passionate about leveraging data to solve complex problems.

Key Responsibilities

• Collect, clean, and analyze large datasets from warehouse operations systems.
• Develop and maintain performance dashboards and reports for key warehouse metrics.
• Identify trends, patterns, and anomalies in warehouse data to pinpoint inefficiencies.
• Provide actionable recommendations to management for improving productivity, accuracy, and cost-effectiveness.
• Collaborate with warehouse managers and operations teams to implement data-driven solutions.
• Forecast future inventory needs and operational requirements based on historical data.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst , preferably within a warehouse or logistics environment.
• Strong proficiency in data analysis and visualization tools (e.g., SQL, Python, R, Tableau, Power BI).
• Excellent understanding of statistical methods and data modeling techniques.
• Ability to interpret complex data and translate it into clear, concise business insights.
• Exceptional attention to detail and strong organizational skills, essential for a remote role.

Benefits

• Competitive salary and performance-based bonuses for a remote position.
• Flexible work hours and the freedom to work from any location.
• Opportunities for professional development and further training in data analytics.
• Comprehensive health insurance coverage.
• A collaborative and innovative remote work culture focused on data excellence.