At a Glance
- Tasks: Dive into data analytics, from collection to visualisation, and tackle real-world projects.
- Company: Join Boeing Defence UK, a leader in aerospace innovation.
- Benefits: Gain hands-on experience, mentorship, and a chance to work on exciting defence projects.
- Other info: Full-time internship in Bristol with potential site visits across the UK.
- Why this job: Make an impact in the aerospace industry while developing your data skills.
- Qualifications: Ideal for first or second-year engineering or maths students with strong communication skills.
The predicted salary is between 20000 - 30000 € per year.
Boeing Defence UK Data Analytics team is seeking a highly motivated intern for a period of 6-8 weeks over the summer months to work in their Bristol office. The Data Analytics team provides analytics capability to BDUK programmes including the P8, E7, Apache and Chinook platforms. The team comprises two sub-teams: Data Engineering and Business Intelligence and Analysis.
The intern will be involved in the end‑to‑end lifecycle of data: collection, transformation, modelling, analysis, and visualization, and will support the team on practical tasks that contribute to production or near‑production pipelines and deliver a small, documented project that demonstrates their learning.
Responsibilities- Learn the team's data environment, pipelines, tooling, and documentation standards.
- Assist in extracting, cleaning, and validating datasets from internal sources and APIs.
- Implement or enhance ETL/ELT logic under guidance, using the team's chosen tools and workflows.
- Help build or refine data models and metadata to support analytics and reporting.
- Develop dashboards or reports to answer specific business questions or measure KPIs.
- Troubleshoot data issues and investigate anomalies.
- Present a final demo/walkthrough of the assigned project and provide a short written handoff for future maintenance.
The position is full time in the Bristol office. The selected intern may be required to visit alternative Boeing or customer sites in the UK, including overnight stays.
Qualifications- In the first or second year of an engineering or mathematics degree.
- A strong academic record at GCSE and A level/IB.
- Strong communication skills.
- Evidence of successful teamwork.
Data Analytics Internship- Summer 2026 employer: Boeing Company
Boeing Defence UK is an exceptional employer, offering a dynamic and supportive work environment in the heart of Bristol. As an intern in the Data Analytics team, you'll gain hands-on experience with cutting-edge data technologies while collaborating with skilled professionals on impactful projects. The company prioritises employee growth through mentorship and training opportunities, ensuring that you not only contribute to meaningful work but also develop valuable skills for your future career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Internship- Summer 2026
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Boeing Defence UK on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. We all know that personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your data analytics skills. Familiarise yourself with common tools and techniques used in the industry, especially those mentioned in the job description. We want you to feel confident and ready to impress!
✨Tip Number 3
Showcase your passion for data! During interviews, share any relevant projects or coursework that demonstrate your skills in data collection, transformation, and visualisation. We love seeing candidates who are genuinely excited about what they do!
✨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, it shows you’re serious about joining the team. Let’s get you that internship!
We think you need these skills to ace Data Analytics Internship- Summer 2026
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data analytics! Share any relevant projects or experiences that highlight your interest in data collection, transformation, and analysis. We want to know what excites you about this field!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Analytics Internship. Highlight your skills in data engineering and business intelligence, and mention any specific tools or programming languages you're familiar with. This shows us you’ve done your homework!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. Remember, we’re looking for candidates who can communicate effectively, so show us your best writing skills!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super straightforward – just follow the prompts and you’ll be set!
How to prepare for a job interview at Boeing Company
✨Know Your Data
Familiarise yourself with data analytics concepts and tools relevant to the role. Brush up on ETL/ELT processes, data modelling, and visualisation techniques. Being able to discuss these topics confidently will show your genuine interest in the field.
✨Showcase Your Projects
Prepare to talk about any relevant projects or coursework you've completed. If you've worked on data analysis or visualisation tasks, be ready to explain your approach, the tools you used, and the outcomes. This will demonstrate your practical experience and problem-solving skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, tools, and challenges they face. This not only shows your enthusiasm but also helps you gauge if the internship aligns with your career goals. It’s a great way to engage with the interviewers.
✨Practice Communication Skills
Since strong communication is key for this role, practice explaining complex data concepts in simple terms. You might be asked to present your ideas or findings, so being clear and concise will set you apart from other candidates.
