Data Analyst

ManpowerGroup
Cardiff
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Our supportive and values-driven national public sector client is seeking a Data Analyst to join their Research, Data and Intelligence team in this newly created role.


This is an excellent opportunity to help turn complex data into meaningful insights that support policy, planning and service delivery across Wales.


Working closely with internal teams and external partners, you will support the effective use of organisational and external information, producing dashboards, reports and analysis that enable evidence-based decision-making.


Key Responsibilities:


  • Analyse, cleanse and assure data from multiple sources, including Dynamics CRM
  • Develop and maintain Power BI dashboards and reports that clearly present trends and performance
  • Support data integration into Azure Data Services and Synapse Analytics
  • Review and improve data collection and validation processes
  • Use tools such as SQL and Power Automate to streamline data workflows
  • Respond to ad-hoc data queries and produce analytical reports
  • Ensure data handling complies with information governance and security standards


Candidate Requirements:


You will have experience working in a data analysis or analytical role, with strong analytical skills and the ability to communicate insights clearly to a range of audiences. You will be confident using Power BI and working with large data sets, and have a good understanding of data protection requirements.


  • Degree or equivalent qualification, or relevant professional experience
  • Experience in data analysis, statistical analysis or data science
  • Strong analytical skills, including advanced Excel
  • Experience presenting data insights to non-technical audiences


This is a temporary, full time (36 hours p/w), hybrid role to start ASAP and required until mid-June 2026.


The pay rate is £15.32 per hour.


Please consider applying as soon as you are able to as we will be shortlisting candidates as we receive them


Thank you for your time and interest

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 Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.