Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Analyst – Logistics/Supply Chain

DataTech Analytics
Surrey
2 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Data Analyst - Supply Chain

SCM Data Analyst - VR/31379

Data Analyst, Financial Strategy and Customer Operations

Senior Data Analyst

Senior Data Analyst, Financial Strategy and Customer Operations

Description

Data Analyst - Logistics/Supply Chain


Location: Woking - 3 days in the office


Salary negotiable depending on experience up £38,000


Job Reference: J12970


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


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.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.