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Remote Warehouse Data Analyst
Remote / Online - Candidates ideally in
Sandton, 2172, South Africa
Listed on 2026-09-07
Sandton, 2172, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-09-07
Job specializations:
-
IT/Tech
Data Analyst, Data Warehousing
Job Description & How to Apply Below
About the Role
Our client is seeking a highly analytical and tech-savvy Remote Warehouse Data Analyst to drive insights and improvements within their warehousing operations. Working entirely from home, you will be responsible for collecting, analyzing, and interpreting complex data from various warehouse systems to identify trends, forecast needs, and optimize inventory management, workflow efficiency, and overall operational performance. Your role will be crucial in providing data-driven recommendations that enhance productivity, reduce costs, and improve accuracy across the entire warehouse network.
This is a fantastic opportunity for a skilled analyst passionate about leveraging data in a remote, flexible setting.
- Collect, clean, and analyze large datasets from warehouse management systems (WMS) and other sources.
- Develop and maintain reports and dashboards visualizing key warehouse performance metrics (KPIs).
- Identify trends, patterns, and anomalies in inventory, order fulfillment, and operational data.
- Provide actionable insights and data-driven recommendations to management for process improvements.
- Collaborate remotely with warehouse operations and IT teams to ensure data integrity and system functionality.
- Proven experience as a Data Analyst, preferably in a logistics or warehouse environment.
- Strong proficiency in data analysis tools such as SQL, Excel, Python, or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication skills for remote collaboration and presentation of findings.
- Highly competitive remote salary and annual bonus structure.
- Complete work-from-home flexibility with no office requirement.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and company holidays.
- Opportunities for professional growth and continuous learning in data analytics.
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