Data Analyst

Uxbridge Employment Agency
Uxbridge, England
13 months ago
Applications closed

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£65,000 pa Hybrid
Posted
30 Apr 2025 (13 months ago)

Data Analyst£40,000 + 10% BonusUxbridge (Office Based)Great Benefits!!Are you a data-savvy Data Analyst with expert-level Excel and Power BI skills? Do you love turning numbers into insights that drive business performance?We’re working with a fantastic client who is now looking for a dynamic and results-driven Data Analyst to join their close-knit team in Uxbridge. This role is ideal for someone who thrives on delivering commercial insight, especially within a sales-driven environment.You’ll be working cross-functionally—particularly with the Sales team—to analyse performance data, evaluate promotions, support planning, and create compelling dashboards and presentations that inform key decisions. It’s a varied and rewarding role where your input will make a real impact.Key Responsibilities:• Leverage Power BI and Excel to extract actionable insights and identify trends• Create visually compelling dashboards for use across the business• Analyse the effectiveness of sales promotions and UK call activity• Support budgeting and forecasting for the leadership team• Track individual sales performance and targets• Design and manage sales commission structures• Present data in a clear, engaging style during monthly sales meetingsExperience Required:• Degree in Business Administration, Finance, Economics, or a related field• Advanced Excel and Power BI skills (this is essential)• Strong analytical and commercial problem-solving abilities• Experience in budgeting, forecasting, or sales planning is highly advantageous• Ability to manage multiple priorities and meet deadlinesWhy Join?This is a brilliant opportunity for a Data Analyst to work within a positive and collaborative team where your insights will genuinely influence business performance. Alongside a competitive salary and 10% bonus, you’ll enjoy great benefits and a supportive work culture that values your contribution. The office is based in Uxbridge, with full-time office hours.Know someone perfect for this? We offer a £100 referral voucher if your recommendation is successfully placed and passes probation! - please see our blogs on our website for further information.What You Need to Do Now:If you're interested in this role, please apply and forward an up-to-date copy of your CV. Due to the unprecedented level of applications, if we have not contacted you within 48 hours, please assume you have been unsuccessful on this occasion.For the purpose of the Conduct Regulations, when advertising permanent vacancies, we are acting as an Employment Agency, and when advertising temporary/contract vacancies, we are acting as an Employment Business.We take your personal data seriously and take every step to protect it. To learn how we handle your data, please visit our website where you can find our Data Privacy Notice.Data Analyst, Power BI Analyst, Excel Analyst, Sales Analyst, Business Intelligence, Forecasting

Industry Insights

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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 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.

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

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.