Data Analyst

Herbrandston
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst / Junior Data Scientist

Data Scientist

Data Scientist

Data Science Consultant

Data Scientist - UKIC DV Clearance Required

Senior Data Scientist

Data Analyst

Location: Pembrokeshire, onsite
HOURS: Full time Mon-Fri 37.5hrs
Type: Temporary  
Salary: £33,500.00 - £55,000.00 per annum
  
Our client Our client is based within the Oil & Gas industry in Pembrokeshire. They are currently seeking a Data Analyst on a temporary basis to support the implementation of Power BI to the business.

The Role: The Data Analyst leverages data to drive informed decision-making using Power BI. Responsibilities include designing, developing, and optimizing dashboards while ensuring accuracy and seamless integration of multiple data sources, including SQL databases. They collaborate across teams to enhance performance, security, and governance while applying best practices in data management and analysis.

Key Responsibilities:

Act as the project Lead on the implementation of Power BI into the business.
Manage the SQL, databases and the Power BI connections to various data sources.
Design, develop and maintain dashboards and visualisations on Power BI for different Departments and Teams to monitor KPI and CPI performance.
Create clear and compelling data visualisations using Power BI to support decision-making processes.
Work closely with Departments and Teams to understand their data needs and provide solutions that enable efficient data analysis using Power BI.
Gather data from various electronic sources, including SAP S/4 HANA, Evotix, Predix, and RAP.
What we need from you:

Proven experience in setting up, configuring, and deploying Power BI solutions. Expereince with SLQ.
Expertise in gathering business requirements and translating them into Power BI solutions.
Skilled in designing interactive dashboards, data models, DAX calculations, and Power Query.
Proficiency in data visualization, analytics, and statistical analysis.
Knowledge of Power BI security models, RLS, and data governance best practices.
Ability to connect Power BI to various data sources and manage large datasets efficiently.   
Preferred qualifications:

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
 What's in it for you:

Onsite parking 
Weekly pay    
How to Apply: If you would like some further information for the role of Data Analyst, and feel you have the skills required for this role, please apply below.
  
Apply now!  We prefer not to use closing dates as we aim to get the best candidate to our client as soon as possible so if you are considering this Data Analyst vacancy but haven’t yet updated your CV, do get in touch and let us know! In a busy job market, it’s important to get ahead of the competition!
  
Equal Opportunity Employer: Applications are encouraged from all sectors of the community
  
ENERGY
  
#sunnyrecruitment

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.

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.