Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst – Supply Chain

BAE Systems
Barrow-in-Furness
5 days ago
Create job alert

Job Title: Data Analyst – Supply Chain

Location: Barrow-In-Furness. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role. Occasional travel to other BAE offices across the UK is expected and expensed.

Salary: From £37,091 depending on skills and experience

What you’ll be doing:

Creating analysis and insight on the performance and behaviour of the supply chain processes, utilising data obtained from a variety of computer systems

Collaborating with diverse stakeholders across the function, programmes and IM&T to uncover valuable key insights required and optimal data to service it

Creating insight solutions using Excel, SAP Analytics Cloud and Tableau while developing your expertise in these platforms

Contributing to Supply Chain Excellence by supporting activities that deliver on People, Process & Technology, ensuring the Supply Chain function is fit for the future

Your skills and experiences:

Essential:

Experience generating and publishing insight from corporate data

Good Excel and general Office application skills

Good stakeholder management and communication skills, gained within a large, distributed organisation

Good numerate academic qualifications

Desirable:

Professional Supply Chain qualifications (eg CIPS) or equivalent Supply Chain experience

Exposure to Modern BI tools such as SAP Analytics Cloud, Tableau or other comparable BI tools

Benefits:

As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts – you may also be eligible for an annual incentive.

The Digital & Data team:

Be part of a small, collaborative digital & data team at the heart of Supply Chain Excellence, optimising a submarine supply chain that represents a major share of the UK defence budget. In this fast-paced, commercially driven environment, you’ll work on high‑impact projects, gain exposure to diverse challenges , and enjoy support for your development, including opportunities across the wider BAE Group. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria.

Why BAE Systems?

This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.

Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks.

Closing Date: 12th December 2025

We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.

#LI-SV1

#LI-Hybrid

Related Jobs

View all jobs

Data Analyst – Supply Chain

Supply Chain Data Analyst

Supply Chain Data Analyst

Data Analyst and Production Planner

Data Analyst and Production Planner

Electronics Manufacturing Data Analyst

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.