Remote Supply Chain Insights Analyst

Placements24; Lancashire; Hybrid; GBP 17,000 - 21,000; Full time

Benefits offered by this job

Remote work

Medical benefits

Professional development

Career growth

Competitive salary

Job summary

Placements24 is seeking a Remote Supply Chain Data Analyst for a leading international e-commerce company. You will transform raw supply chain data into insights, build dashboards, and collaborate with global remote teams to optimize inventory, logistics, and performance.

The role requires 3+ years in data analysis with SQL, Python, and visualization tools; a quantitative degree is preferred. You will communicate findings clearly to technical and non-technical stakeholders, and help implement

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Mathematics, Economics, Supply Chain) or equivalent.
• Minimum 3 years as a Data Analyst, preferably in Supply Chain/Logistics.
• Proficiency in SQL, Python (Pandas/NumPy), R and visualization tools (Tableau/Power BI).
• Strong understanding of supply chain processes, inventory and logistics.

Responsibilities

• Collect, clean, and organize large datasets from supply chain sources.
• Analyze data to identify trends, root causes and opportunities for improvement.
• Develop dashboards and reports to visualize KPIs like lead times and inventory turnover.
• Provide insights to optimize inventory, logistics and operational efficiency.
• Collaborate with stakeholders to deliver relevant analyses and data needs.
• Communicate findings clearly to technical and non-technical audiences.

Skills

SQL

Python

R

Data visualization

Data cleaning

Education

Bachelor's degree in Data Science/Statistics/Mathematics/Supply Chain Management/Economics

Tools

Tableau

Power BI

Excel

Job description

Placements24 is seeking a Remote Supply Chain Data Analyst for a leading international e-commerce company. You will transform raw supply chain data into insights, build dashboards, and collaborate with global remote teams to optimize inventory, logistics, and performance.

The role requires 3+ years in data analysis with SQL, Python, and visualization tools; a quantitative degree is preferred. You will communicate findings clearly to technical and non-technical stakeholders, and help implement