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

Apply Now

Data Analyst

Lemington, Newcastle upon Tyne
3 weeks ago
Create job alert

Data Analyst – Manufacturing
Newcastle upon Tyne, Tyne & Wear
The ability to obtain UK security clearance will be required for this role.
We’re hiring a Data Analyst to join a dynamic manufacturing team. If you're analytical, detail-oriented, and have experience with ERP/MRP systems, this could be a great fit for you.
Main Duties & Responsibilities:
Data Analysis & Reporting

Collect and analyse data from ERP/MRP systems to support manufacturing decisions.
Build reports and dashboards to monitor production, inventory, lead times, and performance.
Spot trends and identify ways to improve processes and efficiency.Forecasting & Planning

Work with production and supply chain teams to forecast demand and plan schedules.
Monitor KPIs like on-time delivery and production yield.
Highlight risks related to inventory or meeting customer demand.System Optimization

Help improve ERP/MRP system use and accuracy.
Work with IT to manage updates and train users.
Investigate and fix data issues.Continuous Improvement

Suggest and implement data-driven improvements to processes and costs.
Collaborate with teams across the business to streamline operations.
Support automation and tech upgrades in manufacturing.Stakeholder Collaboration

Provide insights to production managers, supply chain teams, and senior leaders.
Present complex data clearly to non-technical colleagues.
Help inform business decisions using data.Qualifications & Experience

Degree in Data Science, Computer Science, Engineering, Supply Chain, or similar.
2+ years in a data analyst role in manufacturing or production.
Hands-on experience with ERP/MRP systems (e.g., SAP, Oracle, Dynamics).
Skilled in data extraction and cleaning.Skills

Proficient in SQL and tools like Excel, Python, Power BI, Tableau.
Knowledge of manufacturing and supply chain processes.
Strong problem-solving and communication skills.
Experience creating automated reports and dashboards.What’s on Offer:

Competitive salary and benefits package.
Strong support for career development and learning.If this sounds like the role for you, we’d love to hear from you

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.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

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

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.