Remote Warehouse Data Analyst: Optimize Logistics

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

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.