At a Glance
- Tasks: Ensure top-notch quality in engineering data for innovative vehicle programmes.
- Company: Join a leading automotive brand known for its commitment to excellence.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Other info: Contract role until March 2027 with potential for career advancement.
- Why this job: Be part of a team transforming the future of vehicle engineering with cutting-edge technology.
- Qualifications: Experience in data analysis and a keen eye for detail.
The predicted salary is between 54000 - 60000 £ per year.
Our OEM Client based in Gaydon is searching for a Data Quality Analyst to join their team, Inside IR35. This is a contract position with a proposed end date of 31st March 2027. Umbrella Pay Rate: £27.03 per hour.
The Opportunity: Virtual Build and Test Operations is a growing team within the wider Vehicle Architecture Vehicle Engineering (VAVE) department at JLR. We are uniquely positioned to support the transition of our products from the virtual world to the physical world. As well as owning and operating a world class Virtual Series Framework, we are also on a journey to drive optimisation and transformation into the overall JLR Verification and Validation strategy. Our approach is to focus on our ability to Virtually Build and Test our products with greater speed, confidence and coverage than ever before, and to unlock all of the time, cost, quality and sustainability benefits associated with increased virtual capabilities.
What to expect: Geometric Data is key to the success of JLR's physical and virtual vehicle validation. It is the foundation on which our fantastic vehicles are created. As a CAD Quality Analyst, you will be a core part of the delivery of the Virtual Series for our vehicle programmes. You will have the opportunity to ensure we deliver exceptional products to our customers by proactively identifying any potential quality issues in our Engineering Data.
Data Quality Analyst employer: Futura Design
Contact Detail:
Futura Design Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at JLR or in similar roles on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data quality knowledge. We should be ready to discuss how we can contribute to the Virtual Series Framework and tackle any potential quality issues.
✨Tip Number 3
Showcase our skills with a portfolio! If we have examples of past projects or analyses, let’s put them together. This will help us stand out and demonstrate our expertise in data quality.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows we’re serious about joining the team at JLR.
We think you need these skills to ace Data Quality Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Quality Analyst role. Highlight relevant experience and skills that match the job description, especially those related to geometric data and virtual testing.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this position. Share your passion for data quality and how your background aligns with JLR's mission of optimising vehicle validation.
Showcase Your Technical Skills: Don’t forget to mention any specific tools or software you’re familiar with that are relevant to data analysis and CAD. We want to see how you can contribute to our Virtual Series Framework!
Apply Through Our Website: For the best chance of success, make sure to apply through our website. This helps us keep track of your application and ensures it gets to the right people quickly!
How to prepare for a job interview at Futura Design
✨Know Your Data Inside Out
As a Data Quality Analyst, you'll be dealing with geometric data and CAD systems. Make sure you brush up on your knowledge of data quality principles and the specific tools used in the industry. Familiarise yourself with JLR's approach to virtual build and test operations so you can speak confidently about how you can contribute.
✨Showcase Problem-Solving Skills
During the interview, be prepared to discuss past experiences where you've identified and resolved data quality issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical skills and your ability to proactively tackle challenges.
✨Understand the Company Culture
Research JLR’s values and mission. Understanding their focus on optimisation and transformation will allow you to align your answers with their goals. Show enthusiasm for their commitment to sustainability and innovation, as this will resonate well with the interviewers.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the tools they use, and how success is measured in the role. This not only shows your interest but also helps you gauge if the company is the right fit for you.