Data Analyst

Brook Street
Cardiff
1 month 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 the Senior Data Officer and key external partners, you will improve the use of internal regulatory data and wider external data sets, 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) role to start ASAP and required until mid-June 2026.

This is a hybrid role requiring regular onsite presence at our client's Cardiff office, therefore candidates should be based within a reasonable commuting distance of CF10.

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

Thanks for your interest

Brook Street is proud to support the Armed Forces Covenant and as such, we guarantee to interview all candidates who are veterans or spouses/partners of military personnel, and who meet all the essential criteria for the vacancy.

As a Disability Confident Leader, and holder of the Gold Award status from the Defence Employer Recognition Scheme, Brook Street, as a supplier to the Public Sector Resourcing Framework (PSR), will offer you a guaranteed interview with a PSR Sourcer.

Should you identify as a candidate with a disability and/or as a veteran or spouse/partner of military personnel and meet all the essential criteria for the role, we encourage you to reach out to us via the Brook Street website. Here you will find a link to register your interest and state the role that you are interested in. We are committed to engaging with you.

In cases where we have a high volume of ex-military candidates/military spouses/partners, who meet all of the essential criteria, Brook Street will interview the best candidates from within that group.


#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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

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.

Education

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.