Data Analyst

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About us:
At OMNIA Training weve brought together some of the UKs most innovative defence training organisations under one powerful mission: to transform the British Armys training system and create the best-trained Army in the world.

OMNIA are redefining the British Armys 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 UKs bold Land Industrial Strategy.

The role:
This is more than a job its 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 OMNIAs vision; designing delivering and transforming collective training so the British Army is ready to fight and win.

Youll work in a matrix organisation and report operationally through OMNIA Training and functionally through the OMNIA Data Lead. Ultimately youll 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.

• Develop and maintain data models metrics and metadata structures to improve training analytics.

• Maintain and govern data dictionaries to ensure consistency and shared understanding across domains.

• 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.

• Apply architecture principles and security controls within analytical workflows.

• Author and maintain documentation to ensure analytical processes are repeatable auditable and scalable.

• Utilise the Omnia Data Lakehouse platform effectively providing insight into performance optimisation and alignment with training needs.

Who we are looking for:

Youll have a mission focus and the enthusiasm and drive to get things done. Youll want to work in collaboration with other defence training organisations and the British Army. You wont let bureaucracy get in the way of what needs to be done youll learn lessons and share these lessons across the team. Youll understand what it means to put the mission first.

Were 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.

• Strong understanding of relational and dimensional data modelling including support for metadata and data dictionary management.

• Experience working within cross-functional teams including architects engineers and programme leads.

• 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).

• 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.

• Knowledge or experience of Army doctrine and analysing training performance data and metrics and Performance Indicators.

• 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.

Benefits and Work Culture

Benefits

• Competitive salaries.
• 25 days holiday statutory public holidays plus opportunity to buy and sell up to 5 days (37hr)
• Contributory Pension Scheme (up to 10.5% company contribution)
• Company bonus scheme (discretionary).
• 6 times salary Life Assurance with pension.
• Flexible Benefits scheme with extensive salary sacrifice schemes including Health Cashplan Dental and Cycle to Work amongst others.
• Enhanced sick pay.
• Enhanced family friendly policies including enhanced maternity paternity & shared parental leave.
• Car / Car allowance (dependant on grade/ role)
• Private Medical Insurance (dependant on grade)

Work Culture

• 37hr working week although hours may vary depending on role job requirement or site-specific arrangements.
• Early 1.30pm finish Friday start your weekend early!
• Remote hybrid and site based working opportunities dependant on your needs and the requirements of the role.
• A grownup flexible working culture that is output not time spent at desk focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities.
• Up to 5 paid days volunteering each year.

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington Virginia USA but with over 180000 employees globally across every continent RTX provides advanced systems and services for commercial military and government customers worldwide and comprises three industry-leading businesses Collins Aerospace Systems Pratt & Whitney and Raytheon.

Supporting over 35000 jobs across 13 UK sites RTX is helping to drive prosperity. Each year our work contributes over 2.7bn to the UK economy and offers a wealth of opportunities to 4000 suppliers across England Scotland Wales and Northern Ireland. Were investing in all corners of the country supporting 29040 jobs in England 3040 in Northern Ireland 1900 in Scotland and 1600 in Wales.

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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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