At a Glance
- Tasks: Analyse and manage software defect data to drive insights and support project planning.
- Company: Expleo, a leader in software and systems engineering.
- Benefits: Competitive hourly rate, flexible working environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous improvement.
- Why this job: Join an innovative team and shape the future of engineering data analytics.
- Qualifications: Experience with data analysis, JIRA, and Tableau preferred.
The predicted salary is between 70000 - 80000 € per year.
Expleo is currently hiring a Data Analyst to support a leading automotive customer based in Warwickshire. This is an exciting opportunity to work at the forefront of software and systems engineering, helping drive data-driven decision-making across complex engineering programmes.
Contract: Annual
Rate: £33.88 per hour (Inside IR35)
The Role
As a Data Analyst specialising in Software & Systems Defects, you will play a critical role in ensuring the accuracy, consistency, and usability of defect data across the organisation. You will act as the bridge between:
- Testing Engineers
- Defect Resolution Teams
- Release & Delivery Functions
Working with tools such as JIRA and Tableau, you'll analyse complex datasets, resolve data/tooling challenges, and produce clear, actionable insights for stakeholders at all levels.
Key Responsibilities
- Analyse and manage software and systems defect data to ensure integrity and consistency
- Generate transparent weekly reports for Senior Management
- Provide data-driven insights to support project planning and delivery
- Collaborate with engineering stakeholders to ensure aligned and accurate metrics
- Interpret complex datasets and communicate key insights effectively
- Monitor defect tickets to identify and correct data quality issues
- Drive best practice in defect management, coaching teams on data cleanliness and consistency
- Support continuous improvement of data processes and tooling
Skills & Experience
- Ability to support project planning with data-driven insights
- Ability to create transparent weekly Senior-Management Reporting
- Ability to interact with key engineering stakeholders to ensure metrics are aligned and correct
- Ability to interpret the data to determine the key messages that should be shared
- Ability to ensure data integrity is maintained, by monitoring tickets for common errors
- Ability to coach other users with the best practice on defect tooling, data consistency and cleanliness
- Visualisation tool (e.g. Tableau) experience would be beneficial
Apply now to be part of an innovative team shaping the future of engineering data analytics.
Data Analyst in Warwick employer: Expleo Group
Expleo is an exceptional employer, offering a dynamic work environment in Warwickshire where innovation meets engineering excellence. As a Data Analyst, you will benefit from a collaborative culture that prioritises employee growth and development, alongside competitive pay and the opportunity to work with cutting-edge tools like JIRA and Tableau. Join us to make a meaningful impact in the automotive sector while enjoying a supportive atmosphere that fosters continuous improvement and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Warwick
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Expleo or similar companies. A friendly chat can open doors and give you insider info on what they’re really looking for.
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss how you've tackled complex datasets in the past and how you can bring value to their defect management processes.
✨Tip Number 3
Showcase your experience with tools like JIRA and Tableau. If you’ve got examples of how you’ve used these tools to drive insights or improve processes, make sure to highlight them during your conversations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Data Analyst in Warwick
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with software and systems defects, and any tools like JIRA and Tableau that you've used. We want to see how your skills match 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 and how you can contribute to our team. Be sure to mention your ability to provide data-driven insights and collaborate with engineering stakeholders.
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Provide examples of how you've interpreted complex datasets and communicated key insights effectively. We love seeing real-world applications of your skills!
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 important updates. Plus, it’s super easy!
How to prepare for a job interview at Expleo Group
✨Know Your Data Tools
Familiarise yourself with JIRA and Tableau before the interview. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Prepare examples of how you've analysed complex datasets in previous roles. Highlight specific insights you provided that influenced decision-making or improved processes, as this will demonstrate your value to the team.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to communicate key insights effectively to stakeholders at all levels, so being able to break down complex information is crucial.
✨Emphasise Collaboration
Be ready to discuss your experience working with cross-functional teams. Share examples of how you’ve collaborated with testing engineers and defect resolution teams to ensure data integrity and consistency.
