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

Apply Now

Supply Chain Data Analyst

Brighouse
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Data Engineer

Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK

Data Engineer (MS Fabric, Databricks - Legal)

Principle Data Engineer

Supply Chain Data Analyst required for an leading precision engineering company, serving industries such as Nuclear, Oil & Gas, Food & Beverage and Chemical Processing with critical components from multiple global locations including 4 UK sites.

This opportunity is based in Huddersfield, meaning the successful Supply Chain Data Analyst will be able to commute from surrounding areas.

Key Responsibilities of the Supply Chain Data Analyst will include;

Use advanced data analytic techniques to identify trends, cost saving and supply chain optimisation.
Analyse spend data across various business units to make strategic sourcing decisions
Monitor and report on cost saving initiatives ensuring alignment with business objectives
Work in collaboration with supply chain and finance teams to ensure data insights are shared and actioned
Develop thorough KPI's, using them to provide metrics and reports on performanceFor the role of Supply Chain Data Analyst we are keen to receive applications from individuals who have;

Experience as Supply Chain Data Analyst or similar within an Engineering or Manufacturing environment
Strong analytical and problem solving skills
Experience using data analytics tools such as Excel, SQL and visualisation software
Excellent communication and presentation skillsSalary & Benefits;

Extremely competitive salary
Up to 25% Annual bonus
26 Days annual leave + Bank holidays
Up to 8% employer contributions
Mon - Thur 8am - 4.30pm
Fri - 8am - 1pm
Enhanced company sick pay
Optical vouchers, employee assistance, Discounts, cash back and offersTo apply for the Supply Chain Data Analyst position, please click "Apply Now" and attach an updated copy of your CV. Alternatively, please contact Alex Feather at E3 Recruitment for more information

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.

The Best Free Tools & Platforms to Practise Data Engineering Skills in 2025/26

Data engineering has rapidly become one of the most critical disciplines in technology. Every business, from financial services to healthcare to e-commerce, relies on robust data pipelines to move, transform, and store information efficiently. Without skilled data engineers, the modern data-driven economy would grind to a halt. The challenge for job seekers? Employers don’t just want to see academic credentials. They want hands-on evidence that you can build and manage data workflows, integrate sources, optimise performance, and deploy solutions at scale. Fortunately, you don’t need expensive software licences or premium courses to gain practical experience. A wealth of free tools and platforms allow you to practise and master the essential skills of a data engineer. In this vlog-style guide, we’ll cover the best free resources you can use in 2025 to build portfolio-ready projects and boost your job prospects.

Top 10 Skills in Data Engineering According to LinkedIn & Indeed Job Postings

Data engineering is the backbone of modern analytics, AI, and business intelligence. Across the UK—from finance and health to e-commerce and public sector—organisations are investing heavily in platforms that ingest, process, and store vast amounts of data. Demand for professionals who can build robust, scalable, and reliable data pipelines has never been higher. But what skills do employers really want? By analysing job postings on LinkedIn and Indeed, this article highlights the Top 10 data engineering skills that UK organisations are looking for in 2025. You’ll learn how to surface these skills in your CV, demonstrate them in interviews, and build proof-of-work through a compelling portfolio.

The Future of Data Engineering Jobs: Careers That Don’t Exist Yet

Data engineering has quietly become one of the most crucial roles in modern technology. While data science and artificial intelligence often attract the headlines, it is data engineering that provides the foundation. By building pipelines, managing databases, and ensuring data quality, data engineers make it possible for organisations to analyse, innovate, and grow. In the UK, data engineering is booming. Banks rely on engineers to process financial transactions in real time. Retailers depend on them to analyse customer behaviour. Healthcare providers use engineered data to fuel predictive analytics in the NHS. Demand is so strong that data engineering has become one of the fastest-growing roles in the tech sector, with salaries reflecting its importance. But the story doesn’t stop here. As AI, quantum computing, edge intelligence, sustainability, and regulation reshape how we manage information, the role of data engineers will evolve dramatically. Many of the most important data engineering jobs of the next two decades don’t exist yet. This article explores why new roles are coming, what they might look like, how current jobs will change, why the UK is positioned to lead, and how professionals can prepare.