At a Glance
- Tasks: Analyse software defect data to identify trends and improve product quality.
- Company: Leading automotive manufacturer at the forefront of technology and innovation.
- Benefits: Competitive rate, hybrid work model, and opportunity for professional growth.
- Other info: Collaborative environment with opportunities to work on cutting-edge engineering programmes.
- Why this job: Make a real impact on software quality and drive data-led decisions.
- Qualifications: Experience in data analytics and strong analytical skills required.
The predicted salary is between 60000 - 72000 € per year.
A leading automotive manufacturer is seeking a Data Analytics Engineer to support software and systems quality activities across complex engineering programmes. This role will focus on ensuring the integrity, consistency, and usability of software and systems defect data, helping teams make informed decisions and improve product quality across the development lifecycle. You will act as a key link between testing teams, defect resolution engineers, and release teams, transforming complex datasets into meaningful insights and supporting business-critical reporting.
Key Responsibilities
- Analyse software and systems defect data to identify trends, risks, and key performance indicators.
- Ensure the quality, integrity, and consistency of defect data across engineering programmes.
- Support project planning and delivery activities through data-driven insights and recommendations.
- Produce transparent and high-quality weekly reporting for senior management stakeholders.
- Work closely with engineering teams to validate metrics and ensure reporting accuracy.
- Interpret data and communicate key findings and business messages clearly to stakeholders.
- Monitor defect tickets and identify common errors, inconsistencies, and tooling issues.
- Support continuous improvement initiatives relating to defect management processes and data quality.
- Coach and guide users on defect management best practices, data cleanliness, and consistency standards.
- Collaborate with cross-functional teams to improve reporting capabilities and decision-making processes.
Skills & Experience Required
- Experience in data analytics, reporting, or engineering data environments.
- Strong analytical skills with the ability to interpret complex datasets and identify meaningful trends.
- Experience producing management reports and presenting findings to stakeholders.
- Ability to work collaboratively with engineering and cross-functional teams.
- Strong attention to detail with a focus on data accuracy and governance.
- Experience supporting process improvement and data quality initiatives.
- Excellent communication and stakeholder management skills.
Desirable Skills
- Experience with defect management tools such as JIRA.
- Experience with data visualisation tools such as Tableau or similar platforms.
- Knowledge of software development or systems engineering environments.
- Experience within automotive, engineering, or technology sectors would be beneficial.
This is an opportunity to join a leading automotive organisation at the forefront of technology and innovation, where you will play an important role in driving data-led decisions and improving software quality across large-scale engineering programmes.
Data Analyst employer: Nixor
Join a leading automotive manufacturer that champions innovation and quality, offering a dynamic hybrid work environment in Gaydon. As a Data Analyst, you will benefit from a collaborative culture that prioritises employee growth through continuous learning opportunities and impactful projects. With competitive rates and a commitment to excellence, this role provides a unique chance to contribute to cutting-edge engineering programmes while enhancing your professional skills.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the automotive and data analytics sectors. Attend industry events, webinars, or even local meetups. 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 data analysis projects. Use real-world examples that highlight your ability to interpret complex datasets and produce insightful reports. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analytics questions. Be ready to discuss your experience with tools like JIRA and Tableau. Practice explaining how you've improved data quality and reporting processes in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analytics Engineer. Highlight your experience with data analytics, reporting, and any relevant tools like JIRA or Tableau. We want to see how your skills align with the key responsibilities listed in the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to improving software quality. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Analytical Skills:In your application, be sure to include examples of how you've analysed complex datasets in the past. We’re looking for candidates who can identify trends and provide insights, so share specific instances where your analysis made a difference.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Nixor
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analytics. Be ready to discuss specific projects where you analysed defect data, identified trends, and made recommendations. This will show your potential employer that you can handle the complexities of their engineering programmes.
✨Brush Up on Tools and Techniques
Familiarise yourself with defect management tools like JIRA and data visualisation platforms such as Tableau. If you've used these tools before, prepare examples of how they helped you in your previous roles. This will demonstrate your technical proficiency and readiness to hit the ground running.
✨Communicate Clearly and Confidently
Practice explaining complex datasets and findings in a straightforward manner. During the interview, focus on how you can communicate key insights to stakeholders effectively. This is crucial for the role, as you'll need to bridge the gap between technical teams and management.
✨Show Your Collaborative Spirit
Highlight your experience working with cross-functional teams. Share examples of how you’ve collaborated with engineers or other departments to improve reporting capabilities or data quality. This will showcase your ability to work well in a team-oriented environment, which is essential for this position.
