Remote Inventory Data Analyst

Placements24; George; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Professional development

Exposure to advanced analytics tools

Collaborative virtual team

Job summary

Placements24 is seeking a highly analytical Remote Inventory Data Analyst to join its distributed team. You will analyze inventory levels, stock movement, and demand forecasting across distribution points, translating complex data into actionable insights.

This role emphasizes remote collaboration and data-driven decision making. The position requires 2–4 years of experience with SQL, Python, and data visualization tools; knowledge of forecasting and WMS is a plus.

Qualifications

• Bachelor's degree in a quantitative field (Supply Chain, Data Science, Statistics, BA)
• 2–4 years of data analysis experience in inventory or supply chain
• Proficiency in SQL, Python (Pandas/NumPy) or R
• Experience with Tableau or Power BI for dashboards
• Strong understanding of forecasting, stock control, and WMS

Responsibilities

• Analyze inventory data to identify trends, turnover, and obsolescence.
• Develop dashboards and reports to visualize inventory performance for stakeholders.
• Collaborate with inventory managers to forecast demand and optimize replenishment.
• Identify opportunities to reduce costs and improve efficiency via data-driven insights.
• Monitor KPIs: accuracy, stock availability, carrying costs.
• Assist in implementing and optimizing inventory systems and tools.
• Provide data support for audits and compliance activities.
• Summarize findings clearly for technical and non-technical audiences.

Skills

SQL

Python

R

Tableau

Power BI

Forecasting

Inventory management

Education

Bachelor's degree in Supply Chain/Data Analytics

Tools

Tableau

Power BI

WMS

Job description

About the Role

Our client, a leading e-commerce logistics provider, is seeking a highly analytical and detail-oriented Remote Inventory Data Analyst to join their fully remote operations team. This pivotal role will focus on analyzing vast datasets related to inventory levels, stock movement, and demand forecasting across various distribution points. The ideal candidate will possess exceptional data analysis skills, a deep understanding of inventory management principles, and the ability to translate complex data into actionable insights. This is a remote-first position, offering flexibility and the opportunity to work with a geographically dispersed team dedicated to optimizing supply chain efficiency. You will play a crucial role in ensuring optimal stock levels and supporting strategic inventory decisions. We are looking for an individual who thrives in a virtual environment and can contribute to continuous process improvement from anywhere. This role is ideal for someone passionate about data and its application in real-world logistics challenges, based anywhere, and connected virtually.

Key Responsibilities

• Analyze inventory data to identify trends, patterns, and potential issues in stock levels, turnover rates, and obsolescence.
• Develop and maintain dashboards and reports to visualize inventory performance and key metrics for stakeholders.
• Collaborate with inventory managers and supply chain planners to forecast demand and optimize stock replenishment strategies.
• Identify opportunities for cost reduction and efficiency improvements within the inventory management process through data-driven recommendations.
• Monitor and track key performance indicators (KPIs) related to inventory accuracy, stock availability, and carrying costs.
• Assist in the implementation and optimization of inventory management systems and tools.
• Provide data support for audits and compliance activities.
• Communicate findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Stay abreast of industry best practices and emerging trends in inventory data analysis and management.
• Contribute to the continuous improvement of data analysis methodologies and reporting frameworks.

Requirements

• Bachelor's degree in Supply Chain Management, Data Science, Statistics, Business Analytics, or a related quantitative field.
• Minimum of 2-4 years of experience in data analysis, with a focus on inventory management or supply chain operations.
• Proficiency in data analysis tools such as SQL, Python (Pandas, NumPy), R, or similar.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of inventory management concepts, including forecasting, stock control, and WMS.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Ability to work independently and collaboratively in a remote team environment.
• Strong written and verbal communication skills.
• Proven ability to manage multiple projects and meet deadlines in a fast-paced setting.
• Experience with cloud-based data platforms is a plus.

Benefits

• Competitive salary package, commensurate with experience.
• Fully remote work arrangement, offering flexibility and work-life balance.
• Opportunity to work with cutting-edge data analysis tools and technologies.
• Professional development opportunities and exposure to diverse supply chain challenges.
• Contribute to a forward-thinking company focused on innovation in logistics.
• A collaborative and supportive virtual team environment.
• Comprehensive health benefits (where applicable for remote roles).