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

Nominate & Attend

Qualtrics Data Analyst

Aldermaston
9 months ago
Applications closed

AWE is going through a period of substantial change all of which impacts upon Organisation Design, Organisational Development, Talent Acquisition, Workforce Capability, Total Rewards etc. We are focusing on data and need to be able to analyse and develop our people data in the most commercial way.

We are recruiting for a Data Analyst to join the HR Function to lead data work in our Qualtrics employee experience platform on a 24 month fixed term contract.

Location - Reading / Basingstoke Area

Salary: £35,000 - £45,000 (Dependent on experience)

You will be required to:

Provide MI analysis and reporting support to the HR department and wider business
Support determination of how we manage our data in Qualtrics employee experience platform
Provide analytical advice in trends, data and predictions in our Qualtrics employee experience platform
Use and create data reports to provide information and insight to aid business decision making
Provide reports to senior leaders, which contribute to strategic decision making

To be successful in this role you should have the following skills and experience:

Strong data management, modelling, and analytical skills
Specialist knowledge of Qualtrics Employee Experience platform
Excellent communication and collaboration skills
Advanced MS Excel skills and feel comfortable manipulating data in a strategic way
Be able to articulate the findings in a non-technical manner to ensure full understanding of the results

The following are desirable for the role:

Practical experience of working with Workday
Experience of business process design, process mapping, problem solving and decision making
Interest in data science

As part of our People Promise, AWE (one of the best 25 big companies to work for in the UK) has a range of benefits to suit you. These include:

Time to recharge your batteries with 270 hours of annual leave (plus every other Friday off work)
Consideration for flexible working arrangements so that your work may fit in with your lifestyle. Just let us know on your application if you wish to work part time
Opportunities for Professional Career Development that include funding for the annual membership of a relevant professional body, access to mentors and training
Employee Assistance Programme and Occupational Health Services
A generous defined contribution Group Personal Pension (we will pay between 9% and 13% of your pensionable pay depending on your own contribution)
Life Assurance
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 for your family
A host of voluntary & core benefits to suit your health and wellbeing - more information available on our careers site

This job role is suitable for hybrid working, which is an informal, non-contractual and voluntary arrangement, blending a balance of attendance in the workplace (your permanent duty station) and working from home as a personal choice. If you are successful, any opportunities for hybrid working will be discussed with you prior to you taking up your post.

The successful candidate is required to carry out all their duties from a UK location and cannot do so from an overseas location at any time.

All candidates must be willing and able to apply for and maintain the correct security clearance for this role.

#LI-SW

#LI-Hybrid

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.