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- Tasks: Analyse large datasets, build dashboards, and present insights to drive decision-making.
- Company: Join a leading tech firm supporting the UK Ministry of Defence with innovative digital solutions.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in digital defence while developing your analytical skills.
- Qualifications: Experience in data analysis, proficiency in Python, SQL, and strong communication skills.
- Other info: Diverse team culture with clear career progression and flexible working arrangements.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Analyst to join our Digital Defence Services team following continuous growth and success. Within Digital Defence Services, we are a critical partner to the UK Ministry of Defence in their adoption of secure digital solutions that enable multi-domain integration and data exploitation, which provides the advantage to those who serve and protect us.
As a Data Analyst, you will:
- Analyse complex, large-scale datasets – including temporal and relational data – to identify patterns, detect anomalies, and uncover actionable insights.
- Build and maintain interactive dashboards to visualise key metrics and support decision-making.
- Work closely with customers to understand their business requirements and translate them into effective data solutions and visualisations.
- Present clear, concise insights and recommendations to technical and non-technical audiences.
- Develop and document queries, scripts, and reports for recurring and ad-hoc analysis.
- Take an analytical lead by developing a deep understanding of our data holdings and proactively driving the evolution of analytical support across the customer.
- Support continuous improvement of data models, processes, and data governance practices.
About You
- You have proven experience in data analysis or a related role, preferably within a customer-facing environment.
- You are proficient in Python for data analysis, using libraries such as pandas, NumPy, and Matplotlib to manipulate data and uncover insights effectively.
- You have hands-on experience with graph databases like Neo4j, allowing you to explore and analyse complex data relationships.
- You are comfortable building and maintaining dashboards using OpenSearch or comparable visualisation tools, helping teams monitor and interpret key metrics.
- Your SQL skills are strong, and you are familiar with working in relational database environments to extract, transform, and analyse data efficiently.
- Communication is one of your strengths – you can break down complex analytical concepts into clear, actionable insights that resonate with non-technical stakeholders.
- You understand the importance of data quality, governance, and privacy, ensuring that your analyses respect these critical considerations.
- You bring a proactive mindset, taking ownership of your analytical projects and driving them forward independently while collaborating effectively with your team.
Due to the nature of our business and requirements of this role, you will need to hold a MoD/Partner DV and be a UK National.
We are embracing Hybrid Working, allowing for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being.
Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds can work together to achieve excellence and realise individual and organisational potential.
Data Analyst 1 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 1 in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for interviews by practising common data analysis questions. We recommend using real datasets to showcase your skills. This way, you can demonstrate your analytical prowess and how you can add value to the team.
✨Tip Number 3
Don’t forget to tailor your portfolio! Highlight projects that align with the job description, especially those involving Python, SQL, and dashboard creation. Show us what you can do and how it relates to the role!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a community that values diversity and innovation, just like you!
We think you need these skills to ace Data Analyst 1 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your proficiency in Python, SQL, and any relevant tools like OpenSearch or Neo4j. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how your background aligns with our mission at StudySmarter. Share specific examples of your work that demonstrate your analytical skills and problem-solving abilities.
Showcase Your Communication Skills: Since you'll be presenting insights to both technical and non-technical audiences, make sure to highlight your ability to communicate complex ideas clearly. We love candidates who can break down data findings into actionable insights for everyone!
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 us you’re keen on joining our team!
How to prepare for a job interview at BAE Systems Digital Intelligence
✨Know Your Data Tools
Make sure you brush up on your Python skills, especially with libraries like pandas and NumPy. Be ready to discuss how you've used these tools in past projects to analyse data and uncover insights.
✨Showcase Your Dashboard Skills
Prepare to talk about your experience with visualisation tools like OpenSearch. Bring examples of dashboards you've built and be ready to explain how they helped in decision-making processes.
✨Communicate Clearly
Practice breaking down complex data concepts into simple terms. You’ll need to demonstrate your ability to present insights to both technical and non-technical audiences, so think of examples where you've done this successfully.
✨Understand the Business Context
Research the company and its role within the UK Ministry of Defence. Be prepared to discuss how your analytical skills can support their mission and contribute to their success in digital defence services.
