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- Tasks: Lead a team to analyse data and drive insights for innovative aerospace projects.
- Company: A top aerospace company with a focus on digital technology.
- Benefits: Flexible working, comprehensive benefits, and opportunities for career advancement.
- Other info: Join a dynamic team and shape the future of aerospace technology.
- Why this job: Make a significant impact in the aerospace industry through data-driven decision making.
- Qualifications: Strong leadership skills and experience in data analytics and strategy development.
The predicted salary is between 70000 - 90000 £ per year.
A leading aerospace company is seeking a Digital Technology - Data & Analytics Leader at their Brockworth site near Gloucester. This role demands strong leadership in data analytics, managing a team to derive insights from large datasets using SQL and PL-SQL.
Responsibilities include:
- Managing analytics projects
- Driving operational excellence
- Collaborating with cross-functional teams
Ideal candidates will have proven people management skills and experience in developing data strategies. The position offers flexible working arrangements and a comprehensive benefits package.
Senior Data & Analytics Leader, Digital Tech employer: Dowty, a GE Aerospace company
Contact Detail:
Dowty, a GE Aerospace company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Analytics Leader, Digital Tech
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace and tech industries on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and PL-SQL skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable discussing your experience with data analytics.
✨Tip Number 3
Showcase your leadership skills! Be ready to share examples of how you've successfully managed teams and projects in the past. Highlighting your ability to drive operational excellence will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data & Analytics Leader, Digital Tech
Some tips for your application 🫡
Showcase Your Leadership Skills: Make sure to highlight your experience in leading teams and managing projects. We want to see how you've driven operational excellence and collaborated with others to achieve great results.
Demonstrate Your Technical Expertise: Since this role involves working with SQL and PL-SQL, don’t forget to mention your technical skills. We’re looking for someone who can derive insights from large datasets, so share any relevant projects or experiences.
Tailor Your Application: Take the time to customise your application to fit the job description. We love seeing candidates who understand our needs and can articulate how their background aligns with the role.
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 this exciting opportunity!
How to prepare for a job interview at Dowty, a GE Aerospace company
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and PL-SQL, as these will be crucial for the role. Brush up on your knowledge of data analytics techniques and be ready to discuss how you've used them to derive insights from large datasets in your previous roles.
✨Showcase Your Leadership Skills
Prepare examples that highlight your people management experience. Think about times when you successfully led a team through an analytics project or drove operational excellence. Be ready to discuss your leadership style and how you motivate your team.
✨Understand the Company’s Vision
Research the aerospace company and its digital technology initiatives. Familiarise yourself with their current projects and challenges in data analytics. This will help you tailor your responses and demonstrate your genuine interest in contributing to their goals.
✨Prepare for Cross-Functional Collaboration
Since the role involves working with various teams, think of examples where you’ve successfully collaborated across departments. Be prepared to discuss how you handle differing opinions and drive consensus to achieve project objectives.