Business Analyst

Babcock International Group
Salisbury
1 year ago
Applications closed

Related Jobs

View all jobs

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

Senior Director, Data Science and Analytics

Product Manager (Artificial Intelligence)

2026 Apprentice - Digital (Data Science) - Belfast

Product Manager (Artificial Intelligence)

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Job Title: Business Analyst
Location: Andover, Hampshire + Hybrid Working Arrangements 
Compensation: Competitive + Benefits
Role Type: Full time / Permanent 
Role ID: SF


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 Business Analyst at our Andover site.


The role
As a Business Analyst, you’ll have a role that’s out of the ordinary. You’ll be an instrumental part in making the business work as efficiently and effectively as possible. 


Day to day, you’ll ensure data can be utilised to provide actionable insights for operational needs and evidence-based decision support. You will be responsible for capturing requirements to understand business problems and how they can be applied in Foundry to help our business and customers make better use of their data to improve service. You’ll also:


• Work with business and insight team analysts to understand the critical questions they need to answer and identify their biggest problems
• Working with Data Engineers to ensure that relevant pipelines are established
• Collaborate with Technical and non-technical subject matter experts (SMEs) through design and build cycles
• Be able to document and demonstrate our products to a range of audiences including technical and non-technical SME’s
• Lead training sessions to ensure that the product is meeting user requirements
• Support our business and customer in process and strategy change


This role full time and will be based at Andover on site with hybrid working from home arrangements. 


Agile working may be available to employees in some instances, applying the principles of fairness and consistency whilst ensuring that the overriding business needs can be appropriately met. We are happy to consider flexible, blended working, including part-time, condensed hours, and job sharing. Please ask about alternative patterns of work at interview.


Essential experience of the Business Analyst:
• Experience in a relevant field such as: Data Analyst, Data Engineer, Business Analyst, Data Scientist, Software Developer etc
• Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL) 
• Be confident and capable to work in the customer environment, across teams and engaging with internal and external stakeholders.
• Effective organisation and time management skills
• Self-motivated, enthusiastic, ability to work under pressure and to tight deadlines, through prioritising work and managing deadlines
• Experience working with Palantir Foundry or equivalent Foundry Amplify Certificate is desirable but not essential 


Qualifications for the Business Analyst:
• Degree in relevant field (e.g. data management, information systems, computer science, mathematics, engineering) is desirable but not essential 


Security Clearance
The successful candidate must be able to achieve and maintain 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. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (

What we offer 
• Generous holiday allowance 
• Matched contribution pension scheme, with life assurance
• Employee share scheme 
• 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 the majority of 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
• Opportunity to work with innovative technology
• Opportunity to work on some of the most exciting engineering projects this country has to offer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.