At a Glance
- Tasks: Transform data into actionable insights for the UK Royal Navy and defence operations.
- Company: Join Babcock, a global leader in national security and public infrastructure.
- Benefits: Generous holiday, pension scheme, health support, and volunteering days.
- Other info: Inclusive culture with opportunities for career growth and development.
- Why this job: Make a real impact while enjoying a flexible work-life balance.
- Qualifications: Degree in relevant field and experience with data analysis tools.
The predicted salary is between 33900 - 42400 £ per year.
Location: Plymouth, Devon + Hybrid Working Arrangements
Compensation: £33,900 - £42,400 Depending on Experience + Benefits
Role Type: Full time / Permanent
Turn Data into Decisions That Protect What Matters Most
At Babcock we’re working to create a safe and secure world, together and if you join us, you can play your part as a Data Analyst at our Plymouth, Devon site.
The role
As a Data Analyst, you’ll have a role that’s out of the ordinary. You’ll play a vital role in advancing how we use data to support the UK Royal Navy Surface Fleet and wider defence operations. This is more than analysis — you’ll help shape intelligent tools, deliver data‑driven insights, and contribute to innovative solutions that enable critical decision‑making at every level.
Day‑to‑day, you’ll be required to:
- Collect, prepare, and validate data to ensure it is accurate and fit for purpose
- Collaborate with stakeholders to understand data needs and translate requirements into solutions
- Design and deliver dashboards, visualisations, and analytical tools
- Build and analyse data models to support insight generation and decision‑making
- Communicate findings clearly to both technical and non‑technical audiences
This is a full‑time role working 35 hours per week based at Devonport Dockyard site. Hybrid working patterns are available. You will be working a minimum of two days a week onsite.
Essential experience of the Data Analyst
- Experience working in a regulated environment with diverse stakeholder groups
- Experience with data visualisation tools and Extract, Transform and Load processes
- Experience applying statistical methods and data analysis techniques
- Demonstrated problem‑solving skills with the ability to balance theory and practical outcomes
- Strong communication skills, both written and verbal
Qualifications for the Data Analyst
- A degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or equivalent relevant experience
Security Clearance
The successful candidate must be able to achieve and maintain Standard (BPSS) / Security Check (SC) security clearance for this role. Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held.
What we offer
- Generous holiday allowance
- Matched contribution pension scheme, with life assurance
- Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+
- Employee shopping savings portal
- Payment of Professional Fees
- Reservists in the armed forces receive 10‑days special paid leave
- Holiday Trading is a benefit that allows UK Babcock employees to buy additional leave or to sell up to one working week of annual leave from their annual entitlement.
- ‘Be Kind Day’ enables employees to take one working day’s paid leave a year (or equivalent hours) to undertake volunteering work with their chosen organisation or registered charity
Babcock
We’re Babcock — a global FTSE 100 organisation with over 26,000 people working together to make a difference. Here, you’ll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we’re building a future that lasts — not just through the impact we make, but through meaningful careers that respect your work‑life balance. We call that lifetime engineering. Join us and see how far we can go, together.
We are a disability confident committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email careers@babcockinternational.com with the subject header ‘Reasonable adjustments requirement’. We’re committed to building an inclusive culture where everyone’s free to thrive. We are happy to talk about flexible working – please ask about alternative patterns of work at interview.
Closing date 06/07/2026
Data Analyst in Plymouth employer: weServed
At Babcock, we pride ourselves on being an exceptional employer, offering a supportive work culture that values collaboration and innovation. As a Data Analyst in Plymouth, you will enjoy hybrid working arrangements, generous benefits including a matched pension scheme and opportunities for professional development, all while contributing to vital projects that enhance national security. Join us to be part of a diverse team dedicated to making a meaningful impact in the defence sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Plymouth
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like weServed!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at weServed.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like weServed.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at weServed, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Plymouth
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at weServed, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at weServed. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at weServed
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at weServed!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
