Remote Warehouse Data Analyst

Placements24; Queenstown; Hybrid; NZD 44,000 - 70,000; Full time

Benefits offered by this job

Fully remote work

Health insurance

Pension contributions

Generous annual leave

Home office setup allowance

Job summary

Placements24 invites a Remote Warehouse Data Analyst to join our distributed team. The role focuses on collecting, cleaning, and analyzing data from WMS systems and other sources across locations to identify trends and drive improvements.

You will build dashboards, monitor KPIs, and support strategic decisions remotely. The ideal candidate has 3–5 years of data analysis experience in logistics, strong SQL and Python/R skills, and proficiency in Tableau or Power BI.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Mathematics, CS, Logistics).
• 3–5 years as a Data Analyst in logistics/warehousing or supply chain.
• Proficiency with SQL, Python/R, Tableau or Power BI.

Responsibilities

• Collect, cleanse, and organize data from WMS and other sources across locations.
• Analyze inventory accuracy, order fulfillment, labor productivity, and equipment use.
• Develop dashboards and reports to visualize KPIs for management.
• Identify trends and anomalies; provide actionable process improvement insights.
• Collaborate with remote warehouse managers to understand data needs.

Skills

Data analysis

Statistics

Warehouse operations understanding

Problem solving

Independent work

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Logistics, or related

Tools

SQL

Python

Tableau

Power BI

Job description

About the Role

Our client, a rapidly expanding e-commerce logistics provider, is seeking a highly analytical and results-driven Remote Warehouse Data Analyst to join their distributed operations team. This is a fully remote position, allowing you to contribute from anywhere within South Africa. You will play a crucial role in collecting, analyzing, and interpreting vast amounts of data from our client's various warehouse facilities to identify trends, optimize performance, and drive strategic decision-making. The ideal candidate will possess exceptional data analysis skills, proficiency in relevant software tools, and a deep understanding of warehouse operations and supply chain metrics. This is an exciting opportunity to leverage your analytical expertise to shape the future of logistics operations from a remote setting, contributing significantly to efficiency and cost savings across the organization. We are looking for an independent, self-motivated individual with a passion for data and a knack for uncovering actionable insights.

Key Responsibilities

• Collect, clean, and organize data from various warehouse management systems (WMS) and other data sources across multiple locations.
• Perform in-depth analysis of warehouse operational data, including inventory accuracy, order fulfillment rates, labor productivity, and equipment utilization.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and operational metrics for management.
• Identify trends, patterns, and anomalies in the data to provide actionable insights and recommendations for process improvements.
• Collaborate with warehouse managers and operational teams (remotely) to understand their data needs and provide analytical support.
• Conduct ad-hoc data analysis to support specific operational or strategic projects.
• Assist in forecasting operational needs based on historical data analysis.
• Stay updated with the latest data analysis tools and techniques relevant to logistics and warehousing.
• Communicate findings and recommendations clearly and concisely to stakeholders through reports and presentations.
• Ensure data integrity and accuracy throughout the analysis process.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Logistics, or a related quantitative field.
• Minimum of 3-5 years of experience as a Data Analyst, preferably within the logistics, warehousing, or supply chain industry.
• Proven expertise in data analysis, statistical modeling, and data visualization tools (e.g., SQL, Python/R, Tableau, Power BI).
• Strong understanding of warehouse operations and supply chain principles.
• Excellent analytical and problem-solving skills.
• Ability to work independently, manage time effectively, and meet deadlines in a remote work environment.
• Strong written and verbal communication skills.
• Self-motivated with a proactive approach to identifying and addressing data-related challenges.
• Previous experience working in a remote or distributed team is highly desirable.
• Experience with various WMS platforms is a plus.

Benefits

• Competitive salary package.
• Fully remote work arrangement.
• Opportunity to work with a forward-thinking e-commerce logistics company.
• Comprehensive health insurance coverage.
• Pension fund contributions.
• Generous annual leave.
• Allowance for home office setup.