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- Tasks: Analyse complex datasets and build insightful dashboards for defence projects.
- Company: Leading defence and digital solutions provider with a focus on diversity.
- Benefits: Hybrid working, career progression opportunities, and a supportive work environment.
- Why this job: Make a real impact by delivering insights that drive defence strategies.
- Qualifications: Proficiency in Python, SQL, and graph databases is essential.
The predicted salary is between 36000 - 60000 £ per year.
A leading defense and digital solutions provider is seeking a Data Analyst in London. The role involves analysing complex datasets, building dashboards, and collaborating with customers to deliver insights.
Strong skills in Python, SQL, and graph databases are essential. The company promotes hybrid working and values diversity and inclusion. This full-time position offers pathways for career progression.
Data Analyst – Defence Analytics & Dashboards (Hybrid) in London employer: BAE Systems Digital Intelligence
Contact Detail:
BAE Systems Digital Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Defence Analytics & Dashboards (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the defence analytics field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Python, SQL, and dashboards. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Think about how you would approach real-world problems and be ready to discuss your thought process and solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Data Analyst – Defence Analytics & Dashboards (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and graph databases. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
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. Let us know what excites you about working in defence analytics.
Showcase Your Analytical Skills: In your application, include examples of how you've tackled complex datasets in the past. We love seeing real-world applications of your skills, so share any dashboards or insights you've created that made an impact.
Apply Through Our Website: We encourage you to apply directly 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 from us!
How to prepare for a job interview at BAE Systems Digital Intelligence
✨Know Your Data Tools
Make sure you brush up on your Python, SQL, and graph databases before the interview. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and problem-solving skills.
✨Showcase Your Analytical Skills
Prepare to talk about how you've tackled complex datasets in the past. Think of examples where your analysis led to actionable insights or improved decision-making. This will demonstrate your ability to deliver value to customers.
✨Understand the Company’s Mission
Research the company’s role in defence and digital solutions. Understanding their values around diversity and inclusion can help you align your answers with their culture, showing that you're not just a fit for the role but also for the team.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the types of projects you might work on or how they measure success in the data analytics department. This shows your genuine interest and helps you assess if it’s the right fit for you.
