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- Tasks: Automate data workflows and create dashboards to drive operational excellence.
- Company: Join JLR, a leader in innovative luxury manufacturing.
- Benefits: Hybrid work, discounted car purchases, generous parental leave, and a competitive pension.
- Why this job: Shape the future of luxury vehicles with cutting-edge data analysis.
- Qualifications: Proficiency in SQL, Power BI, and experience with SAP ERP systems.
- Other info: Inclusive culture with opportunities for personal growth and development.
The predicted salary is between 45000 - 55000 £ per year.
Working in Manufacturing at JLR, you will be the hands-on expert who brings innovation to life. You will collaborate with a team of expert technicians and problem-solvers and use cutting-edge tools, facilities, and processes engineered together to build era-defining vehicles that people across the world know and love. Your expertise will directly impact the shaping of modern luxury. Together, let’s create the exceptional.
We are shaping the future of modern luxury through innovation, sustainability, and intelligent manufacturing. As a Manufacturing Data Engineer, you will be at the heart of this transformation, automating the translation of complex data enabling actionable insights that drive operational excellence across our production lines.
What To Expect- Automate data workflows and build efficient pipelines to streamline reporting and reduce manual effort using UI / UX skills
- Develop and maintain dashboards and visualisations using Power BI, Tableau, and SAP reporting tools
- Design and implement secure, efficient, and compliant data collection systems from SAP ERP environment and modules
- Ensure data quality and integrity by identifying anomalies, cleansing datasets, and validating inputs
- Collaborate with manufacturing, quality, and engineering teams to gather and document data requirements
- Strong proficiency in data analysis tools such as SQL, Excel, Power BI, Tableau and Python
- Experience working with SAP ERP systems, particularly in a manufacturing context
- Solid understanding of data validation, cleansing, and reporting methodologies
- Familiarity with manufacturing KPIs, lean principles, and continuous improvement
- Excellent communication skills, with the ability to present complex data clearly
- Hybrid working
- Discounted car purchase (open to family members, too)
- A 52 week maternity leave policy and a 4 week paternity leave policy. Other parental leave policies are available.
- A competitive pension
- A JLR company performance-related bonus
- An employee learning scheme providing funding for education, training and other activities which support the development of personal skills and promote lifelong learning.
- Access to open, employee-led support and social networks
- Comprehensive Life Assurance and Income Protection policies
Applicants must have the right to work in the UK at the time of application, as the role is not eligible for sponsorship. We work hard to nurture a culture that is inclusive and welcoming to all. We understand candidates may require reasonable adjustments during the recruitment process. Please discuss these with your recruiter so we can accommodate your needs. Applicants from all backgrounds are welcome. If you’re unsure that you meet the full criteria of a role but you’re interested in where it could take you we still encourage you to apply. We believe in people's ability to grow and develop within their role; it's what makes living the exceptional with soul possible. JLR is committed to equal opportunity for all.
Manufacturing Data Analyst* in Wolverhampton employer: Hatfields
Contact Detail:
Hatfields Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Data Analyst* in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to current employees at JLR or in the manufacturing data field on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using SQL, Power BI, or Tableau. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and manufacturing KPIs. Mock interviews with friends can help you nail your responses.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the JLR team.
We think you need these skills to ace Manufacturing Data Analyst* in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Manufacturing Data Analyst role. Highlight your experience with data analysis tools like SQL, Power BI, and SAP. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in manufacturing and how you can contribute to our innovative team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, don’t hesitate to mention them! Whether it's automating data workflows or developing dashboards, we love to see real examples of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Let’s get started on this journey together!
How to prepare for a job interview at Hatfields
✨Know Your Data Tools
Make sure you brush up on your skills with SQL, Excel, Power BI, and Tableau. Be ready to discuss how you've used these tools in past projects, especially in a manufacturing context. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand Manufacturing KPIs
Familiarise yourself with key performance indicators relevant to manufacturing. Knowing how to measure success in this field will help you demonstrate your understanding of operational excellence and continuous improvement during the interview.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or improve processes. Think about past experiences where you automated workflows or improved data quality, and be ready to explain your thought process and the impact of your actions.
✨Showcase Your Communication Skills
Since you'll need to collaborate with various teams, practice explaining complex data insights in simple terms. Prepare examples of how you've successfully communicated technical information to non-technical stakeholders in the past.