At a Glance
- Tasks: Analyse data, develop digital tools, and improve manufacturing processes.
- Company: Join Luxfer MEL Technologies, a leader in advanced materials for diverse industries.
- Benefits: Competitive salary, training opportunities, and hands-on experience in manufacturing.
- Other info: Dynamic role with excellent career growth in Continuous Improvement and Digital Transformation.
- Why this job: Make a real impact on production with innovative solutions and teamwork.
- Qualifications: Degree in engineering, science, or computer science; strong analytical skills.
The predicted salary is between 30000 - 35000 € per year.
Location: Swinton, Manchester (on-site)
Department: Operations / Continuous Improvement
Reports to: IT & Continuous Improvement Manager
Hours: 37 hours per week
Base salary: £30,000 - £35,000 depending on experience
Join the Future of Manufacturing at Luxfer MEL Technologies. At Luxfer MEL Technologies, we develop advanced magnesium and zirconium materials used in industries ranging from healthcare to aerospace. We are looking for a graduate or early-career professional from an engineering, science, or computer science background who enjoys solving problems, working with data, and creating practical digital solutions. This is not a typical "data analyst" role. You will work directly with production teams to improve real manufacturing processes, combining engineering thinking, data analysis, and hands-on digital development.
The Role
- Data analysis of plant performance
- Development of Power Apps used on the shopfloor
- Creation of Power BI dashboards to drive decisions
- Building models to understand and improve production processes
- Maintaining production data on SAP
- Build Digital Tools (Power Platform)
- Design and develop Power Apps to capture and improve production data on the shopfloor
- Improve usability of systems used by operators and engineers
- Work with stakeholders to understand requirements and deliver practical solutions
Analyse Manufacturing Data
- Analyse operational data (yield, efficiency, cost, variance) from SAP and production systems
- Identify trends, issues, and improvement opportunities
- Translate data into actionable insight for production teams
Develop Reporting & Visualisation
- Create and maintain Power BI dashboards and data pipelines to automate reporting and improve visibility
- Support reporting cycles and continuous improvement initiatives
Model Production Processes
- Build and develop models of production processes to:
- Evaluate most cost-efficient production routes
- Understand performance drivers
- Support troubleshooting and root cause analysis
- Improve response to process issues
Work with Production Teams
- Collaborate directly with operators, engineers, and chemists
- Understand real-world manufacturing challenges
- Deliver improvements that have visible impact on cost, quality, and efficiency
Support Data & Systems
- Ensure production data is accurate and usable in SAP and related systems
- Support development of new products and processes through data and modelling
Why This Role is Different?
- Work on real industrial problems from day one
- Build tools that are used on the shopfloor, not just dashboards
- Develop a unique combination of engineering, data, and digital skills
- Gain hands-on experience with manufacturing processes, SAP ERP systems, and Power Platform (Power Apps & Power BI)
- Be supported by experienced specialists across Engineering & chemistry, Data & analytics, IT & digital systems
What You’ll Gain
- Practical experience in manufacturing and process improvement
- Development of highly transferable skills in data analysis, automation & digitalisation, process modelling & stakeholder management
- A strong foundation for future careers in Continuous Improvement / Operational Excellence, Data & analytics, Digital transformation / Power Platform, Engineering or production leadership
What We’re Looking For
- Degree (or equivalent) in Engineering, Chemistry / Materials Science, Maths / Physical Science, or Computer Science
- Strong analytical and problem-solving skills
- Curiosity and willingness to learn new tools and technologies
- Good communication skills and ability to work with non-technical stakeholders
- And ideally, Experience or interest in Power BI or Power Apps, Excel, SQL, or Python, with an awareness of manufacturing or production environment and how data can improve real-world processes
Who This Role Suits
- Has an engineering, computing or science background
- Enjoys figuring out how things work
- Likes to build, test, and improve systems
- Wants to see the real-world impact of their work
Our Values
You will be expected to demonstrate behaviours aligned with Luxfer’s core values: Customer First, Integrity, Accountability, Innovation, Personal Development, Teamwork
Working Pattern & Salary
37 hours per week
Competitive graduate salary (aligned with experience)
Training and development opportunities provided
Production data & Automation analyst in Swinton employer: Luxfer MEL Technologies
At Luxfer MEL Technologies, we pride ourselves on being an exceptional employer that fosters a culture of innovation and continuous improvement. Located in Swinton, Manchester, our team enjoys a collaborative work environment where graduates and early-career professionals can develop practical skills in manufacturing and data analysis while directly impacting real-world processes. With competitive salaries, comprehensive training opportunities, and a commitment to personal development, we empower our employees to grow and thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Production data & Automation analyst in Swinton
✨Tip Number 1
Get to know the company inside out! Research Luxfer MEL Technologies and their products. Understanding their values and what they do will help you tailor your conversations during interviews and show that you're genuinely interested.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider info about the role and might even lead to a referral, which can boost your chances of landing that job.
✨Tip Number 3
Prepare for practical assessments! Since this role involves real-world problem-solving, be ready to showcase your analytical skills and how you approach data-driven challenges. Practise with sample scenarios related to manufacturing processes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and keen to join the team at Luxfer MEL Technologies.
We think you need these skills to ace Production data & Automation analyst in Swinton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Production Data & Automation Analyst role. Highlight any relevant projects or coursework that showcase your analytical and problem-solving abilities.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role at Luxfer MEL Technologies. Share specific examples of how your background in engineering, science, or computer science aligns with our mission to improve manufacturing processes.
Showcase Your Technical Skills:If you've got experience with Power BI, Power Apps, or any data analysis tools, make sure to mention them! We want to see how you can bring those skills to the table and help us drive improvements on the shopfloor.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Luxfer MEL Technologies
✨Know Your Data Tools
Familiarise yourself with Power BI and Power Apps before the interview. Be ready to discuss how you've used these tools in your studies or projects, as this role heavily relies on them for data analysis and visualisation.
✨Understand Manufacturing Processes
Research basic manufacturing concepts and processes relevant to the role. Showing that you understand how data impacts production efficiency will impress the interviewers and demonstrate your genuine interest in the field.
✨Prepare Real-World Examples
Think of specific instances where you've solved problems or improved processes, whether in academic projects or internships. Relating your experiences to the job description will help you stand out as a candidate who can deliver practical solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the Continuous Improvement team and their current projects. This shows your enthusiasm for the role and helps you gauge if the company culture aligns with your values, especially around teamwork and innovation.
