Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst- Excel & SQL - Logistics /Supply chain

Datatech Analytics
Woking
4 days ago
Create job alert
Overview

Data Analyst - Logistics/Supply Chain


Location: Woking - 3 days in the office


Salary negotiable depending on experience up to £35,000


Job Reference: J13006


About the role

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: www.datatech.org.uk


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.