Data Insights Analyst

Caerphilly
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Senior Machine Learning Engineer

Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaS

Data Operations & Insights Analyst

Location: Cardiff Outskirts (Hybrid – minimum 3 days onsite)

Salary: £40,000–£50,000 DOE

Type: Permanent, Full-Time

The Role

We’re looking for a skilled Data Analyst who can do more than just crunch numbers. You’ll be responsible for the end-to-end management of our data – from building and maintaining our data warehouse, to driving data quality, analysis, and reporting that directly supports business decisions.

You’ll work across the company, supporting data governance, compliance, and insight generation. There’s a strong focus on improving how data is collected, stored, and used – and making sure everyone across the business understands the value of it.

What You’ll Be Doing

Governance & Quality

Develop and maintain our Data Governance Framework

Own data quality monitoring, audits, and issue management

Ensure consistent, accurate, and reliable data across all systems

Data Integration & Warehousing

Build and manage a centralised data warehouse

Apply ETL processes to extract, transform and load data

Integrate data across platforms using APIs, Celigo, Make

Keep documentation updated in the IT Knowledgebase

Analysis & Insights

Build and maintain dashboards and MI reports

Analyse complex datasets to uncover trends, insights, and performance gaps

Present findings clearly to non-technical stakeholders

Work closely with teams to support data-driven decisions

Compliance & Lifecycle

Support GDPR compliance and Data Lifecycle Management

Contribute to maintaining Cyber Essentials and ISO27001 standards

Training & Culture

Promote data literacy across teams

Deliver internal training on Power BI, Excel and other data tools

Embed data metrics into team performance tracking

What You’ll Need

Top 5 Must-Have Competencies

Strong communication skills – clear, concise and confident

Experience with data modelling, data warehousing, and ETL processes

Excellent problem-solving and critical thinking skills

High attention to detail and accuracy

Qualification in Data Science, IT, Statistics, Maths, or similar

Also Important

Proven experience in a Data Analyst or similar role

Hands-on skills with SQL, Power BI, DAX, Excel

Experience working with NetSuite, Salesforce, or other Tier 1 systems (desirable)

Comfortable with APIs, cloud storage (e.g. Azure), and data integration tools

Solid documentation and process discipline

Ready to Apply?

If you know your data inside out, have the right mindset, and want to help shape how a business uses its information – we want to hear from you, please apply for more details, thanks

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 AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.