Supply Chain Insights Analyst — Data-Driven Logistics

Women in Data®; Southampton; Hybrid; GBP 30,000 - 50,000; Full time

Benefits offered by this job

Pension

PMI

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6.6 weeks holiday

Hybrid Working (1 day per week in the

Job summary

Women in Data® in Southampton is seeking a Supply Chain & Logistics Insights Analyst to join our growing Analytics & Data Science team. You will turn data into clear insights to optimise performance across supply chain and logistics, helping leaders make smarter decisions.

The role requires curiosity, problem-solving, and the ability to translate complex datasets into impactful recommendations for operational stakeholders. Hybrid working with one day in the office per week.

Qualifications

• Experience in analytical roles within supply chain or logistics.
• Strong analytical and problem-solving skills with complex datasets.

Responsibilities

• Use data to uncover insights that drive better decisions in supply chain and logistics.
• Translate complex datasets into clear, actionable recommendations for operational stakeholders.
• Identify opportunities to streamline reporting and analytical processes to improve efficiency.
• Partner with Supply Chain, Logistics and Commercial teams to understand challenges and support decision-making.
• Tackle a wide range of problems from performance optimisation to understanding availability drivers.
• Deliver deep-dive analyses highlighting risks, opportunities and continuous improvement areas.
• Build relationships with stakeholders to influence decision-making at all levels.
• Collaborate with analysts and data scientists to deliver scalable analytical solutions.
• Contribute to a culture of continuous improvement and data-driven thinking across supply chain and logistics.

Skills

Supply chain analytics

Analytical skills

Job description

Women in Data® in Southampton is seeking a Supply Chain & Logistics Insights Analyst to join our growing Analytics & Data Science team. You will turn data into clear insights to optimise performance across supply chain and logistics, helping leaders make smarter decisions.

The role requires curiosity, problem-solving, and the ability to translate complex datasets into impactful recommendations for operational stakeholders. Hybrid working with one day in the office per week.