Data Analyst in Warminster

Data Analyst in Warminster

Warminster Full-Time 53192 - 65012 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data to transform British Army training and deliver actionable insights.
  • Company: Join OMNIA Training, a leader in innovative defence training.
  • Benefits: Enjoy a strong benefits package and clear career growth opportunities.
  • Other info: Collaborative environment focused on innovation and continuous improvement.
  • Why this job: Make a real impact on national defence while working with cutting-edge technology.
  • Qualifications: 2+ years in data analysis, strong SQL, Python or R skills required.

The predicted salary is between 53192 - 65012 £ per year.

Be at the forefront of transforming British Army training.

About us: At OMNIA Training, we've brought together some of the UK's most innovative defence training organisations under one powerful mission: to transform the British Army's training system and create the best-trained Army in the world. OMNIA are redefining the British Army's collective training. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world-class experts, like you. OMNIA is at the heart of the UK's bold Land Industrial Strategy.

The role: This is more than a job — it's a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA's vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win.

Key Responsibilities:

  • Analyse complex datasets and translate findings into actionable insights aligned with Army training objectives.
  • Design and deliver clear, meaningful visualisations and reports that support operational decision-making.
  • Explore and analyse through use of statistical tools and techniques data to identify patterns, relationships and trends to inform further development.
  • Collaborate with data architects and engineers to ensure analytical outputs align with enterprise architecture and platform standards.
  • Support the evolution of data architectures by contributing analytical requirements and feedback.
  • Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements.
  • Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics.
  • Ensure analytics processes comply with security, governance, and regulatory requirements.
  • Author and maintain documentation to ensure analytical processes are repeatable, auditable, and scalable.
  • Any other duties required to meet the needs of the programme.

Who we are looking for: You'll have a mission focus, and the enthusiasm and drive to 'get things done'. You'll want to work in collaboration with other defence training organisations, and the British Army. You won't let bureaucracy get in the way of what needs to be done, you'll learn lessons and share these lessons across the team. You'll understand what it means to put the mission first.

We're looking for a curious, detail-oriented Data Analyst who thrives in a fast-paced, mission-driven environment. The ideal candidate will be passionate about unlocking the value of data to improve Army training outcomes, with a strong ability to interpret complex datasets and communicate insights clearly to both technical and non-technical stakeholders.

Essential Skills and Experience:

  • Minimum 2+ years' experience in a Data Analyst or similar analytical role, ideally within defence, government, or complex enterprise environments.
  • Experience working within large-scale, secure data environments and contributing to digital transformation initiatives.
  • Working knowledge of data architecture principles and experience collaborating with engineering teams in Agile delivery environments.
  • Understanding of relational and dimensional data modelling, including support for metadata and data dictionary management.
  • Understanding of data security principles, governance frameworks, and MOD compliance standards.
  • Strong SQL skills for querying and manipulating structured datasets.
  • Proficiency in Python or R for statistical analysis, data wrangling, and automation.
  • Experience building dashboards and visualisations using Power BI, Tableau, or equivalent BI tools.
  • Advanced Excel skills for analytical modelling and reporting.
  • Familiarity with cloud platforms (Azure or AWS), particularly in hybrid data environments.
  • Experience working with data Lakehouse technologies (e.g. Delta Lake, Databricks, or similar platforms).
  • Be able to travel to programme and customer meetings across the UK as required.
  • Security cleared or ability to obtain (SC or above).

Desirable Skills and Experience:

  • Degree in Data Analytics, Statistics, Computer Science, or related discipline (MSc desirable but not essential), or equivalent professional accreditation.
  • Experience working within cross-functional teams including architects, engineers, and programme leads.
  • Experience with additional BI and analytics platforms (e.g. Looker, Elastic Stack, or similar visualisation and observability tools).
  • Knowledge of data protection and compliance frameworks (e.g. UK GDPR, Data Protection Act, or comparable regulatory standards).
  • Relevant professional certifications (e.g. Microsoft Certified Data Analyst Associate, AWS/Azure Data Fundamentals, DAMA Certified Data Management Professional (CDMP), or equivalent).
  • Familiarity with training systems, simulation data, or performance analytics.

What we offer:

  • Be Part of a Ground-breaking Mission: Join the UK's most advanced defence training alliance, where industry experts converge to push boundaries and deliver excellence.
  • A Culture Built on Collaboration: Work in an inclusive, high-performing team that celebrates ideas, supports growth, and is laser-focused on delivering results.
  • Team dynamics: You will be part of a team that works together, across multiple organisations united in one mission.
  • Work Across Borders, United in Purpose: Operate across organisations with one shared goal - improving capability across all domains.
  • Drive Innovation: Your voice matters. We champion new ideas, welcome change, and believe in continuous improvement with a growth mind-set.
  • Shape the Future: Play a crucial role in a long-term, future-facing programme with real-world impact on national defence.
  • Career Growth & Benefits: Enjoy a strong benefits package, ongoing development opportunities, and clear pathways to progress within a trusted defence industry partner.

OMNIA Training and its partners are proud to be an equal opportunity employer. We welcome applicants of all backgrounds and identities — what matters is your passion, your expertise, and your dedication to the mission.

This position is classified as: Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

Data Analyst in Warminster employer: Raytheon

Raytheon UK is an exceptional employer, offering a dynamic and inclusive work environment in Glenrothes where employees can thrive and contribute to cutting-edge defence and aerospace technology. With a strong focus on professional development, competitive benefits including a generous pension scheme, and a culture that prioritises teamwork and innovation, we empower our Production Managers to lead impactful projects while enjoying a fulfilling work-life balance. Join us to be part of a community dedicated to shaping the future of national security and fostering personal growth.

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Contact Details:

Raytheon Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in Warminster

Get Involved in Data Science Meetups

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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 Raytheon.

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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 Raytheon.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst at Raytheon, 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 Warminster

Communication Skills
Problem-Solving Skills
SQL
Python
Data Governance
Data Quality Assurance
API Integration

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 Raytheon, 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 Raytheon. 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 Raytheon

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 Raytheon!

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.