National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Operations Analyst

Tadley
1 month ago
Applications closed

Related Jobs

View all jobs

Performance & Business Intelligence Analyst

Operations Analyst

Data & Insights Analyst

Data Analyst

Senior Data Analyst

Data Engineer

Business Operations Analyst

Closing Date: 10th June 2025

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

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

Package: £29,490-£35,000 (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

AWE is currently recruiting for a Business Operations Analyst to sit within the Physics Business Operations Team. You will gain a unique insight into the leadership and governance of the Physics sub-function, working with both the management team and key stakeholders.

This role is ideally suited to a business analyst who enjoys working with data and automating processes with an eye for trend analysis. The role would be supporting both tactical and strategic tasks across Physics, with a focus on security data.

A successful candidate would have a board range of skills to enable them to support designing and implementing the framework for Physics security SharePoint sites, development and management of a Physics security dashboards, general data analytics, information management and communications to a broad range of audiences from the management team to the Physics staff in a wide variety of disciplines.

A proactive attitude is key for this role, with a willingness innovate and identify new ideas to help Physics support the management team in a proficiently, sustained and secure manner.

What you could be involved with or responsible for:

Fulfilling the Security Liaison Officer (SLO) duties across the Physics sub-function. Attending SLO meetings, cascading relevant information, providing all new starters with a security brief, reporting security incidents, walkabouts and inspections, updating SLO register for security cabinets, combination settings and changes. Conducting the role in accordance with the SLO terms of reference.

Developing a Physics security dashboard to provide metrics that feed into the sub-function's Visual Management Board (VMB) using iTRAC data.

Keeping relevant Physics SharePoint pages up to date, communicating updates to the company security documentation, processes and procedures to Physics management and staff.

Providing relevant security training, toolbox talks and advice to the Physics sub-function.

Providing support to ensure that all information is stored, monitored, and destroyed in accordance the security requirements through routine and spot checks.

Supporting the Head of Physics and Physics Business Operations team with security related transformation activities, company initiatives and any other reasonable duties that align to this position.

Who are we looking for?

We are looking for someone with strong stakeholder management and influencing skills with the ability to forge positive relationships in a fast paced and service-oriented environment. As well as excellent verbal and written skills, you will need to have an eye for detail, the ability to analyse data and be able to challenge and problem solve.

If you would like to be part of a dynamic team where you will be encouraged to develop and grow, we welcome your application.

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

Working with a variety of stakeholders across all levels of a business

A high level of organisation with experience of setting up large meetings, ensuring all relevant documentation required, including proposals, escalations and performance reporting are delivered to the required quality

Knowledge of developing suitable performance measures, setting escalation triggers and governance tolerances

Ability to work collaboratively with a variety of business operations teams ensuring successful delivery of business plans and objectives

A keen eye for detail providing insightful analysis, highlighting issues, risks and opportunities while identifying improvements and efficiencies

Experience of supporting review, learn and improve (RLI) activities

Some reasons we think you'll 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'.

#LI-KT

National AI Awards 2025

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.