Remote Warehouse Data Analyst

Placements24; Bloemfontein; Hybrid; ZAR 360,000 - 480,000; Full time

Job summary

Placements24 is seeking a Remote Warehouse Data Analyst to join a global supply chain solutions provider. The role focuses on collecting, cleaning, and interpreting warehouse data to drive efficiency and strategic decisions.

You will develop dashboards using Tableau, Power BI, or similar tools, collaborate with cross-functional teams across time zones, and forecast inventory needs while ensuring data integrity.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 3–5 years of data analyst experience in logistics or warehousing.
• Proven SQL, data extraction, and database management skills.
• Strong analytical and communication abilities.

Responsibilities

• Collect, clean, and process large warehouse data sets.
• Analyze data to identify patterns and inefficiencies.
• Create reports and dashboards with Tableau, Power BI, or QlikView.
• Translate findings into actionable operational recommendations.
• Collaborate with warehouse ops, IT, and management.
• Monitor KPIs and report on efficiency and cost savings.
• Identify automation opportunities and process improvements.
• Forecast inventory needs and optimize stock levels.
• Ensure data integrity across analyses and reports.
• Stay current with data analysis tools and best practices.

Skills

Data analysis

SQL

Data visualization

Python

R

Statistical modeling

Communication

Problem solving

Education

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

Tools

Tableau

Power BI

QlikView

Job description

About the Role

Our client, a leading global provider of supply chain solutions, is seeking a highly skilled and motivated Remote Warehouse Data Analyst to join their team. This is a fully remote position, offering the flexibility to work from anywhere. The successful candidate will be responsible for collecting, analyzing, and interpreting complex warehouse and logistics data to identify trends, improve efficiency, and support strategic decision-making. This role requires a strong analytical mindset, proficiency in data visualization tools, and a deep understanding of warehouse operations. The ideal candidate will be a self-starter, capable of working independently and collaborating with teams across different time zones.

Key Responsibilities

• Collect, clean, and process large datasets related to warehouse operations, inventory management, and order fulfillment.
• Perform in-depth data analysis to identify patterns, trends, and anomalies in operational performance.
• Develop and maintain comprehensive reports, dashboards, and visualizations using tools like Tableau, Power BI, or similar.
• Translate complex data findings into actionable insights and recommendations for operational improvements.
• Collaborate with warehouse managers, operations leads, and IT teams to understand data needs and implement solutions.
• Monitor key performance indicators (KPIs) and provide regular updates on warehouse efficiency, cost savings, and service levels.
• Identify opportunities for automation and process optimization based on data analysis.
• Assist in forecasting inventory needs and optimizing stock levels.
• Ensure data integrity and accuracy throughout all analysis and reporting processes.
• Stay up-to-date with the latest data analysis tools, techniques, and best practices in the logistics industry.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Logistics, Supply Chain Management, or a related quantitative field.
• 3-5 years of experience as a Data Analyst, preferably within the logistics or warehousing sector.
• Proven expertise in data analysis, statistical modeling, and database management.
• Proficiency in SQL for data extraction and manipulation.
• Advanced skills in data visualization tools (e.g., Tableau, Power BI, QlikView).
• Experience with programming languages like Python or R for data analysis is highly desirable.
• Strong understanding of warehouse operations, inventory management, and supply chain principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Proven ability to work independently, manage multiple projects, and meet deadlines in a remote setting.

Benefits

This is a fully remote position offering a competitive salary, excellent health benefits, retirement contributions, and performance-based bonuses. Our client is committed to fostering a collaborative and supportive remote work environment, providing opportunities for professional growth and development. Join a forward-thinking company and make a significant impact on global logistics operations from your home office.