Data Analyst

CPS Group
Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Analyst

Lynx Recruitment London, United Kingdom
£40,000 – £65,000 pa On-site

Data Scientist

Sagacity London, United Kingdom
£40,000 – £60,000 pa On-site

Data Scientist (Machine Learning)

360 Resourcing Thame, United Kingdom
£50,000 pa Hybrid

Data Scientist (Machine Learning)

360 Resourcing Cheltenham, United Kingdom
£50,000 pa Hybrid

Lead Data Engineer

Canada Life London, United Kingdom
£70,000 – £100,000 pa Hybrid

Data Scientist

Randstad Technologies Recruitment London, United Kingdom
Posted
28 Mar 2026 (Last month)

Role: Data Analyst

Location: Cardiff (Hybrid - Flexible)

Salary: £35,000 - £45,000 + Benefits

CPS Group are supporting a growing Financial Services organisation in the search for a Data Analyst to join their expanding Pricing team.

This is an excellent opportunity to join a highly data-driven business where analytics plays a central role in decision-making. You'll work on a variety of projects, helping shape pricing strategy and delivering meaningful insights that directly impact business performance.

The Role:

As a Data Analyst, you will play a key role in analysing customer behaviour, pricing performance, and market trends to support strategic decisions. While the role is positioned as a Data Analyst, a strong foundation in Data Science and statistical modelling is essential, as you will be working with complex datasets and advanced analytical techniques.

Key Responsibilities:

* Analyse customer behaviour, claims data, and profitability to support pricing decisions

* Develop and maintain statistical models to evaluate pricing performance

* Monitor competitor activity and market trends

* Design and evaluate tests to measure pricing effectiveness

* Translate complex data into clear, actionable insights for stakeholders

* Support wider business projects and collaborate across teams

* Contribute to internal reporting and governance processes

Skills/ Experience:

* Experience analysing data to support business decision-making

* Background in Data Science and statistical modelling

* Ability to identify trends and communicate insights clearly

* Experience with tools such as Python, R, Snowflake, or Power BI

* Strong problem-solving skills with a proactive mindset

* Comfortable working both independently and collaboratively

* Excellent communication skills, with the ability to engage non-technical stakeholders

Benefits:

* Hybrid and flexible working environment

* Competitive salary with regular reviews

* Generous annual leave allowance

* Pension scheme and additional benefits

* Ongoing training and professional development support

* A collaborative, forward-thinking culture where your ideas are valued

This is a fantastic opportunity for someone looking to combine analytical expertise with real business impact in a supportive and flexible environment.

If you're interested in finding out more, please get in touch with Sam John: (url removed)

By applying to this advert you are giving CPS Group (UK) Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes. CPS Group (UK) Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found here (url removed)

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.