Data Analyst

Herbrandston
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.