Qualtrics Data Analyst

AWE
Reading
3 weeks ago
Create job alert

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.


#J-18808-Ljbffr

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

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

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

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

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.