Data Analyst - Logistics/Supply Chain
Location: Woking - 3 days in the office
Salary negotiable depending on experience up £35,000
Job Reference: J13006
Are you a data driven thinker with a curiosity for global trade, shipping markets, or economic trends?
We're looking for a Data Analyst who wants to work with one of the most influential data sources in global logistics.This is a unique chance to turn complex global movements into real world business impact
Working for this company means being part of a team that truly values collaboration, support, and professional growth where guidance is always available, and you're never on your own.
In this role You'll analyse and visualise this data to help our teams (and clients) answer critical questions. The go-to source for tracking container volumes and freight price trends across 125,000+ global trade routes.
Responsibilities:
• Monthly Trades Reports
• Internal Analytics Report
• Gaining in depth knowledge of high value trades
• Process improvement via innovative report production and automation
• Client Understanding: Gain an in-depth understanding of member lines, their scope within our 49 Trades, investigate opportunities for membership growth
• Client Requests: Fast and accurate responses to client queries/data requests
Your experience and Skills:
• Has 3+ years in Data analytics role
• A high level of Excel proficiency is a must
• Experience of VB would be highly advantageous
• Basis SQL knowledge with the curiosity to grow
• Logical problem-solving skills
• Experience of supply chain or logistics would be advantageous
If this sounds like the role for you then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)