BI Analyst

ORKA FINANCIAL
Reading, United Kingdom
3 weeks ago
£35,000 – £40,000 pa

Salary

£35,000 – £40,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
5 May 2026 (3 weeks ago)

Benefits

Benefits

Our client is a growing PLC who is seeking to hire a BI Analyst experienced with Power BI. The BI Analyst plays a key role in enabling a data driven culture across the organisation. The role enables access to trusted, timely, and actionable insights by developing high quality reporting, intuitive visual dashboards, and scalable self service capabilities. This role transforms complex data into clear stories that support faster, better decisions at scale.

Responsibilities:

  • Develop high-quality reports, dashboards and analysis to help the organisation monitor performance and make better decisions.
  • Ensure BI outputs are reliable, consistent and aligned to agreed definitions, enabling a single version of the truth.
  • Proactively identify insights that highlight risks, opportunities and performance-improving actions.
  • Assist with adhoc requests from internal customers, understanding the business need and developing requirements.
  • Create user-friendly BI products in Power BI (and emerging tools as the analytics stack evolves) that simplify complex information for non-technical audiences.
  • Support the business in developing self-service behaviours.
  • Champion visual and analytical best practice.
  • Collaborate with Data Platform teams to ensure datasets used for reporting are accurate, well-structured and optimised for analysis.
  • Ensure data integrity and data security across all reporting and adhere to the principles of Data Governance.
  • Work closely with operational, commercial, finance and clinical teams to understand their decision needs and translate them into BI solutions.
  • Provide clear, actionable recommendations that improve performance, reduce risk or create commercial value.
  • Support colleagues in using BI tools effectively, including training on reporting platforms.
  • Support a variety of projects impacting different areas of the business.
  • Support the transition of reporting and analytics towards tools such as Power BI and Fabric.
  • Share knowledge, coach colleagues and contribute to standards that increase consistency, reusability and efficiency across analytics.

A salary of £35,000-£40,000 is on offer plus benefits.

Related Jobs

View all jobs

BI Analyst

ORKA FINANCIAL Reading, United Kingdom
£35,000 – £40,000 pa On-site

Data (Visualisation / BI) Analyst

Corvus People Belfast, County Antrim, United Kingdom
£40,000 – £50,000 pa Hybrid

Data Scientist / BI Analyst

James Fisher & Sons Barrow in Furness, Cumbria, United Kingdom
Remote

BI Developer

Oscar Technology Warrington, United Kingdom
£35,000 – £45,000 pa Hybrid

BI Developer

Oscar Technology Liverpool, United Kingdom
£30,000 – £45,000 pa Hybrid

Senior Data Analyst

Boss Professional Services Kt11Ae, KT1 1AE, United Kingdom
£60,000 – £85,000 pa Hybrid

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.