Nuclear Security Business Operations Analyst

Aldermaston
3 weeks ago
Create job alert

Nuclear Security Business Operations Analyst

Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.

Package: £38,500 - £45,000 (depending on your suitability, qualifications, and level of experience)

Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.

Let us introduce the role

We are seeking a skilled data analyst with a strong background in data management and administration to join our newly formed business operations team. The role supports the Nuclear Threat Reduction programme, working closely with counterparts across Science to ensure a consistent and effective approach. In this role, you will have the opportunity to primarily be responsible for building and maintaining function and programme data, primarily on SharePoint but also utilising other document management systems, to drive and enable effective communications and business operations between a range of internal stakeholders.

Key responsibilities:

Build, maintain and manage SharePoint sites to enable effective information storage, access and communication, utilising other document management systems as required.
Lead on the development and realisation of effective communication and information management strategies.
Support and manage information and knowledge capture activities to enable efficient and effective current business operations and assure the future provision of these.
Organise and manage capability planning, including underpinning resource allocation, to ultimately assure continuous capability readiness.
Active participation in capability, communication and knowledge management workstreams, and associated projects, ensuring effective communication across a range of internal stakeholder networks.
Lead on the collation, management and representation of a range of business data to underpin current and future operations.

Whilst not to be considered a tick list, we would like you to have experience in some of the following:

Effective communication skills with the ability to form strong stakeholder relationships across the business.
Good business acumen with experience supporting a variety of business disciplines.
Strong organisational skills with the ability to balance conflicting demands, prioritise and deliver effectively under pressure.
Strong administration skills with diligence.
Experience in presenting high level metrics in a meaningful way for trend analysis to a wide range of audiences.
Excellent track record of delivery and engagement with senior stakeholders.

Some reasons we think you will love it here:

AWE has wide range of benefits to suit you. These include:

9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.
Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).
Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.
Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.
Employee Assistance Programme and Occupational Health Services.
Life Assurance (4 x annual salary).
Discounts - access to savings on a wide range of everyday spending.
Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.

The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.

Important things you need to know:

You will need to obtain and maintain the necessary security clearance for the role. AWE will fund this. The nature of our work does mean you need to be a British Citizen who has been resident in the UK for the past 5 years to apply for SC clearance and 10 years for DV.
We want you to feel comfortable and able to shine during our recruitment process. Please let us know on your application form if you need any adjustments/accommodations during the process.
Our interviews typically take place over Teams and for most roles are a one stage process.

Hybrid working is available for this role on an informal, non-contractual basis. Typically 3 days onsite per week.

#LI - MB

Related Jobs

View all jobs

Head of Business Resource Management

Data Governance Manager

Senior Human Factors Consultant

Waste Project Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.