At a Glance
- Tasks: Analyse data and develop digital tools to enhance 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: Collaborate with experts and gain practical experience in a dynamic environment.
- Why this job: Make a real impact on production efficiency while developing unique engineering and data skills.
- Qualifications: Degree in Engineering, Science, or Computing; strong analytical and problem-solving 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
You will be part of the Continuous Improvement team, supporting manufacturing performance through:
- 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
What You’ll Be Doing:
- 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, Computing or 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
- Experience or interest in Power BI or Power Apps, Excel, SQL, or Python with awareness of manufacturing or production environment and how data can improve real‑world processes
Working Pattern & Salary
- 37 hours per week
- Competitive graduate salary (aligned with experience)
- Training and development opportunities provided
As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum criteria for this position will be offered an interview. If you wish to request that your application be considered under the terms of our Guaranteed Interview Scheme, please explicitly state so in your CV and / or accompanying cover letter.
Production data & Automation analyst in Swinton employer: Luxfer MEL Technologies - UK
At Luxfer MEL Technologies, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to tackle real-world manufacturing challenges. Located in Swinton, Manchester, our team enjoys competitive salaries, comprehensive training, and development opportunities, all while working with cutting-edge technology in a supportive environment that values continuous improvement and personal growth.
Contact Detail:
Luxfer MEL Technologies - UK Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Production data & Automation analyst in Swinton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Luxfer MEL Technologies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Power BI or Power Apps, bring it up in conversations. Share examples of how you've used data to solve problems or improve processes – it’ll make you stand out!
✨Tip Number 3
Prepare for interviews by understanding the manufacturing challenges they face. Think about how your background in engineering or data analysis can help tackle these issues. It shows you're not just interested in the role, but also in making a real impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
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 makes you a great fit for the team.
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 improve our manufacturing processes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Luxfer MEL Technologies - UK
✨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 creating digital solutions.
✨Understand Manufacturing Processes
Research basic manufacturing concepts and processes relevant to the role. Being able to speak about how data can improve production efficiency will show your genuine interest and understanding of the industry.
✨Prepare Real-World Examples
Think of specific instances where you've solved problems using data analysis or engineering principles. Sharing these examples will demonstrate your analytical skills and ability to apply theoretical knowledge to practical situations.
✨Engage with Stakeholders
Practice how you would communicate technical information to non-technical stakeholders. This role requires collaboration with various teams, so showcasing your communication skills will be key to making a positive impression.
