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For Companies At a Glance
- Tasks: Support digital manufacturing strategy and implement data visualisation solutions.
- Company: Global leader in clean technology with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in manufacturing intelligence.
- Qualifications: Experience in data analysis, strong Python skills, and knowledge of Power BI.
- Other info: Exciting role with potential for SC clearance and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.
Our Contingent Workforce Solution (CWS) is one way we support our clients. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.
On behalf of our globally respected client who develop cutting-edge technologies that deliver clean, safe and competitive solutions to meet the planet\’s vital power needs we are looking for a Manufacturing Data Analyst (Python / Power BI) for a 12 Months contract based in Bristol (Hybrid).
Job description – the role
Purpose of the role:
As Manufacturing Data Analyst you will support the rollout of a Digital Manufacturing strategy. This role will play an important part in enabling Manufacturing Intelligence across the full lifecycle: Development, Production, Repair, and Overhaul within the Manufacturing, Assembly & Test organisation.
What you\’ll do:
- Implement Manufacturing Intelligence and visualisation solutions.
- Develop and maintain coding solutions using Python, C#, VBA, SAP GUI scripting, JavaScript.
- Build dashboards and reporting solutions with Power BI and Cognos.
- Conduct ad-hoc data analysis to support decision-making.
- Work with IIoT platforms and digital manufacturing systems.
- Develop and test digital manufacturing systems, ensuring risks are mitigated.
The skills you\’ll need:
- Proven experience as a Data Analyst or similar role within manufacturing, engineering, or defence.
- Strong coding skills in Python (plus C#, VBA, SAP scripting, or JavaScript advantageous).
- Expertise with Power BI and/or Cognos for data visualisation and reporting.
- Understanding of IIoT platforms and manufacturing data systems.
- Ability to translate complex requirements into practical, data-driven solutions.
- Experience in defence, aerospace, or similarly regulated industries is highly desirable.
- SC clearance preferred (or eligibility to obtain).
Next steps
We will only accept workers operating via an Umbrella or PAYE engagement model.
If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.
AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business
Manufacturing Data Analyst (Python / Power BI) in Bristol employer: AMS CWS
Contact Detail:
AMS CWS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Data Analyst (Python / Power BI) in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and Power BI dashboards. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and manufacturing. Be ready to discuss your experience with IIoT platforms and how you've tackled challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Manufacturing Data Analyst (Python / Power BI) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Manufacturing Data Analyst role. Highlight your experience with Python, Power BI, and any relevant projects that showcase your skills in data analysis and visualisation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with the company's mission of creating innovative solutions for the planet's power needs.
Showcase Relevant Experience: When filling out your application, be sure to emphasise any experience you have in manufacturing, engineering, or defence. Mention specific projects where you've implemented data-driven solutions or worked with IIoT platforms.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at AMS CWS
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools, and think about how you can apply them to the role at AMS.
✨Understand Manufacturing Intelligence
Familiarise yourself with the concept of Manufacturing Intelligence and how it applies to the full lifecycle of manufacturing. Be prepared to share your thoughts on how you can contribute to their Digital Manufacturing strategy.
✨Showcase Your Problem-Solving Skills
Think of examples where you've tackled complex data challenges in previous roles. Highlight your ability to translate complex requirements into practical solutions, especially in regulated industries like defence or aerospace.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to digital manufacturing and how they envision the role of a Manufacturing Data Analyst. This shows your genuine interest and helps you assess if it's the right fit for you.
