At a Glance
- Tasks: Analyse complex datasets, build dashboards, and present insights to drive decision-making.
- Company: Join BAE Systems Digital Intelligence, a leader in digital and cyber solutions.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by supporting the UK Ministry of Defence with innovative data solutions.
- Qualifications: Experience in data analysis, proficiency in Python, and strong SQL skills required.
- Other info: Diverse and inclusive culture with clear career progression pathways.
The predicted salary is between 28800 - 48000 £ per year.
Location(s): UK, Europe & Africa : UK : London
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.
NB. Travel is required out of country for up to two months twice a year.
About the role
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. Positioned within a thriving Digital Defence Services Business Unit and part of a wider vibrant Security Consulting Community from across other sectors, you will be supported in the role to learn and develop, with clear pathways defined for your career progression in the organisation.
Our people are what differentiates us; they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the public sector provides diverse opportunities for our people to develop their careers in new areas and with new clients.
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 decisionāmaking.
- 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 nonātechnical audiences.
- Develop and document queries, scripts, and reports for recurring and adāhoc 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 customerāfacing 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 handsāon 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 ā you can break down complex analytical concepts into clear, actionable insights that resonate with nonātechnical 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.
Life at BAE Systems Digital Intelligence
We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance wellābeing.
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 ā the best and brightest minds ā can work together to achieve excellence and realise individual and organisational potential.
Data Analyst 1 in London employer: BAE Systems.
Contact Detail:
BAE Systems. Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Analyst 1 in London
āØTip Number 1
Network like a pro! Reach out to current employees at BAE Systems Digital Intelligence on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can make a huge difference!
āØTip Number 2
Prepare for the interview by brushing up on your Python skills and data analysis techniques. Be ready to showcase your experience with libraries like pandas and NumPy, as well as your ability to build dashboards. Practice explaining complex concepts in simple terms ā itās all about clear communication!
āØTip Number 3
Donāt just wait for job openings to pop up! Keep an eye on our website and apply as soon as you see a relevant position. The sooner you get your application in, the better your chances of standing out from the crowd.
āØTip Number 4
Show your passion for data! In your interviews, share examples of how you've used data to drive decisions or improve processes. Highlight your proactive mindset and willingness to take ownership of projects ā thatās what we love to see at BAE Systems!
We think you need these skills to ace Data Analyst 1 in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, Python, and any relevant tools like SQL or Neo4j. 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 Digital Defence Services team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any interesting data projects, make sure to mention them! Whether it's building dashboards or analysing datasets, we love to see real examples of your work that demonstrate your skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Itās straightforward and ensures your application goes directly to us. Plus, we can't wait to hear from you!
How to prepare for a job interview at BAE Systems.
āØKnow 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.
āØShowcase 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.
āØCommunicate Clearly
Practice breaking down complex data concepts into simple terms. You might be asked to present findings to non-technical stakeholders, so being able to convey your insights clearly is key.
āØUnderstand the Business Context
Research BAE Systems and their work with the UK Ministry of Defence. Be prepared to discuss how your analytical skills can contribute to their mission and how you can help them unlock digital advantages.