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- Tasks: Lead data collection processes and improve predictive modelling for in-service products.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Experience in data management and strong analytical skills required.
- Other info: Collaborative environment with a focus on innovation and customer engagement.
The predicted salary is between 36000 - 60000 £ per year.
Overview
- Process development: Lead the development and continuous improvement of data collection and related processes across our in-service products, focusing on usage, failures, end user damage and maintenance trends.
- Predictive Modelling: Ensure real-life data is integrated into product models through a rigorous annual update process, also linking into the Integrated Logistic Support (ILS) teams planning support packages for equipment to be delivered ensuring data is consistent across the product life cycle.
- S&OP Integration: Collate and transform complex data into actionable feeds for the Sales & Operations Planning process.
- Collaboration: Partner with Project Design Authorities (DA), Quality, Repair, Reliability, Integrated Logistic Support and Manufacturing teams to build and utilise a seamless and accurate data set.
- Data collection: Ensure all data relevant to reliability is collated and presented to the Reliability and Support Teams to conduct analysis.
- Customer Engagement: Work directly with customers, asset management teams, Product Support and ILS teams to identify new data sources and improve the depth of trend analysis.
Data Management Engineer in Stevenage employer: MBDA S.A.S.
Contact Detail:
MBDA S.A.S. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Engineer in Stevenage
✨Tip Number 1
Network like a pro! Reach out to professionals in the data management field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data collection and predictive modelling projects. 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 brushing up on your collaboration skills. Be ready to discuss how you've partnered with different teams in the past, as teamwork is key in roles like Data Management Engineer.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Management Engineer in Stevenage
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Management Engineer role. Highlight your experience with data collection processes and predictive modelling, as these are key aspects of the job. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how you can contribute to our team. Don’t forget to mention any relevant collaborations you've had with cross-functional teams.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can turn data into actionable insights, so share your success stories!
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at MBDA S.A.S.
✨Know Your Data Inside Out
Make sure you’re well-versed in data management principles and practices. Brush up on your knowledge of data collection processes, predictive modelling, and how they relate to product life cycles. Being able to discuss specific examples from your past experience will show that you can lead the development and improvement of these processes.
✨Showcase Your Collaboration Skills
This role requires working closely with various teams, so be prepared to discuss how you've successfully collaborated in the past. Think of examples where you partnered with design authorities or quality teams to achieve a common goal. Highlighting your teamwork skills will demonstrate that you can build and utilise accurate data sets effectively.
✨Prepare for Customer Engagement Scenarios
Since customer engagement is key, think about how you’ve interacted with customers or asset management teams before. Be ready to share instances where you identified new data sources or improved trend analysis based on customer feedback. This will show your ability to engage directly with clients and enhance data relevance.
✨Understand S&OP Integration
Familiarise yourself with Sales & Operations Planning (S&OP) processes and how data feeds into them. Be prepared to discuss how you would collate and transform complex data into actionable insights. Showing that you understand this integration will set you apart as a candidate who can contribute meaningfully to the team.
