Data Analyst
RTX Warminster, England, United Kingdom
Aviation and Aerospace Component Manufacturing · 10,001+ employees
About the role
Analyze complex datasets to provide actionable insights that support British Army training objectives. Collaborate with engineering teams to design and maintain scalable data architectures and visualisations.
What they look for
Requirements
Requires at least 2 years of experience in a data analytical role within a complex or defence environment. Proficiency in SQL, Python or R, and experience with BI tools and cloud platforms is essential.
Benefits
Full description
Date Posted:
2026-09-08
Country:
United Kingdom
Location:
Warminster, Wiltshire
Position Role Type:
Hybrid
Data Analyst
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.
You’ll work in a matrix organisation and report operationally through OMNIA Training and functionally through the OMNIA Enterprise Architect. Ultimately, you’ll work for the British Army, championing innovation, and helping shape the future of military collective training.
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. They should be comfortable working across hybrid cloud environments, collaborating with engineers and architects, and contributing to the evolution of innovative, secure, and scalable data solutions. A proactive mindset, eagerness to explore emerging technologies, and commitment to data integrity and governance are essential. This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment.
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.
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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.
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