BI & Data Analyst - Power BI

Mountain Ash
1 month ago
Applications closed

Related Jobs

View all jobs

BI & Data Analyst

BI Data Analyst

BI & Data Analyst - HR & Sustainability (Hybrid UK)

BI Data Analyst — Fast-Paced Supply Chain Insights

BI Data Analyst – Dashboards & Insights (Remote)

Senior Data Analyst - BI, Data Quality & Stakeholder Insights

Are you an experienced and personable Business Intelligence or Data professional with Power BI experience? Do you have a passion for engaging with people generating new insight, generating statistical models, forecasting, and providing the information make informed business decisions? Let Informed Recruitment help you to achieve your potential with an exciting opportunity for a Power BI Developer to translate data into actionable decision making. As a specialist provider of resource to the Property & Associated Technology markets, we are delighted to be partnering with a social enterprise offering you the opportunity to make a difference at the centre of modern environment championing continual improvement. The role is offered as an initial 15-month Fixed Term Salaried contract with full company benefits and the opportunity of a permanent contract, with a hybrid of office and home working.

The purpose of your role is to create key business performance reporting across all directorates by creating Power BI reports and dashboards that will serve the business with actionable insights. Day-to-day responsibilities will include working with key stakeholders to specify, design, build and maintain Power BI reports/dashboards that will display key performance indicators and management information; monitoring KPI data; troubleshooting issues; designing data models; ensuring data accuracy; supporting system upgrades; modifying existing reports; data extractions; and all associated documentation.

Must Have

Previous experience in commercial Business Intelligence reporting and Data Analysis.
Power BI
Experience of integrating varying data sources to create data models.
Microsoft/Office 365 with a particular specialism with Excel to an advanced level.
RDBMS systems, such as Oracle or SQL Server
SQL Scripting
Customer facing skills, able to engage to stakeholders autonomously to collaborate.

Nice to Have / Not Essential

Wider appreciation of Microsoft BI tools, such as SSRS, SSIS, and/or SSAS
Data Warehouses
Web analysis tools such as Google Analytics and web tracking tools.
Power Apps
Any relevant certification

As an individual you will be customer focused, change driven and a keen learner. You will be an excellent communicator, detail orientated, analytical and adept at problem solving and presenting to others. You will understand the positive impact on a business that an excellent digital service delivery provision will bring, and will display excellent relationship building, interpersonal, and negotiating skills. The role is hybrid working, some office presence required in the and around Caerphilly, otherwise you will be predominantly home based. On offer is a competitive salary, ongoing training & development, the chance to be part of and influence a modernisation programme, and an excellent benefits package that includes generous holiday, contributory pension, health care, and much more. If this role describes you, then please apply without delay for the opportunity to develop your career with driven yet friendly organisation continually looking to provide a better service to customers.

Informed Recruitment Limited acts as an Employment Agency in respect to this vacancy as defined by the Employment Agencies Act. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, national origin, disability status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence, and business need. As defined under the General Data Protection Regulation (GDPR), Informed Recruitment is a Data Controller and a Data Processor, and our legal basis for processing your personal data is 'Legitimate Interests'. You have the right to object to us processing your data in this way. For more information about this, your rights, and our approach to Data Protection and Privacy, please visit our website

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.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.