Future Tech Jobs Future Tech Jobs

Finance & Business Intelligence Analyst

Ashley Kate HR & Finance
Leeds, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst -Job Ref 196331

Forsyth Barnes Watford, Hertfordshire, United Kingdom
£50,000 – £60,000 pa Hybrid

Marketing Data Analyst

Armstrong Lloyd Basingstoke, Hampshire, United Kingdom
£50,000 – £60,000 pa Hybrid

FP&A and Systems Analyst

Hays Accounts and Finance Oxford, Oxfordshire, United Kingdom
£55,000 – £75,000 pa Hybrid

UK Defence Veterans - Civilian Work Attachment

Faculty AI London, United Kingdom
Internship

Lead Data Scientist - Customer Development

Faculty AI London, United Kingdom
Hybrid

Staff Product Designer

Faculty AI London, United Kingdom
On-site
Posted
20 Mar 2026 (2 months ago)
Share
Save job
Create job alert

Ashley Kate HR & Finance are partnering with a growing business to recruit a Finance BI Analyst as part of an exciting transformation in how data is used across the organisation.

This role sits at the heart of a shift from manual, spreadsheet-driven reporting to a more automated, insight-led approach. You'll play a key role in shaping how financial data is structured, visualised, and delivered, helping the business move towards a single, reliable view of performance.

Working closely with both Finance and IT, you'll act as the bridge between technical and commercial teams, turning complex requirements into clear, user-friendly reporting solutions.

Key responsibilities include:

Acting as the link between Finance and IT to ensure reporting needs are clearly defined and delivered

Translating business requirements into technical specifications and data solutions

Designing and developing dashboards and reports in Power BI

Maintaining and improving data models to ensure accuracy and consistency

Driving improvements in reporting automation, efficiency, and insight

Supporting testing and rollout of system and reporting enhancements

Contributing to a more standardised, joined-up data environmentWe're looking for someone with strong Power BI expertise and a solid understanding of financial processes, who can bring data to life through clear, visual storytelling. You'll be comfortable working with stakeholders across the business and confident communicating complex information in a simple, meaningful way.

Experience within FMCG or manufacturing is highly beneficial, particularly with exposure to SKU-level analysis, costing, and performance drivers. Familiarity with ERP systems and how data flows into reporting tools is important.

In return, you'll receive a competitive salary, bonus, and car allowance, alongside a strong benefits package and the opportunity to play a key role in a business-wide data transformation.

About Us

We are dedicated to fostering a diverse and inclusive community. In line with our Diversity and Inclusion policy, we welcome applications from all qualified individuals, regardless of age, gender, ethnicity, sexual orientation, or disability. As a Disability Confident Employer, and part of the Nicholas Associates Group, we are committed to supporting candidates with disabilities, and we're happy to discuss flexible working options.

We are committed to protecting the privacy of all our candidates and clients. If you choose to apply, your information will be processed in accordance with the Nicholas Associates Group of companies

Industry Insights

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

Products

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.

Jobs

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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.