Data Analyst

Technical Prospects Ltd

Dudley Hill, BD4 9LR, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Data Analyst

Rise Technical Recruitment London, United Kingdom

£43,000 – £43,200 pa Contract

Data Analyst

Greencore Osberton, Nottinghamshire, United Kingdom

On-site

Data Analyst (Contact Centre)

Mortgage Advice Bureau Derby, Derbyshire, DE1 3AE, United Kingdom

£45,000 pa Hybrid

Data Analyst Business System Analyst

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom

£60,000 – £70,000 pa Hybrid

Data Analyst (Power BI SQL Azure | Data Transformation)

Avanti Recruitment East Barnet, London, EN4 8TB, United Kingdom

£65,000 pa Hybrid

Data Insight Analyst

4Recruitment Services Lambeth, London, SE1 7JW, United Kingdom

£34 ph On-site

Posted: 27 Mar 2026 (Last month)

Save job

Create job alert

Applications closed

Data Analyst

Offering £40,000 - £45,000 basic salary

Location: Bradford (Hybrid – 3 Days Office Based)

Our client is an established B2B IT company based in West Yorkshire. Due to continued growth, they are currently recruiting a Data Analyst to own and deliver daily, weekly, and monthly commercial performance reporting for senior management and sales teams. The successful candidate will be commercially minded, confident engaging with the business, be focused on turning data into actionable insight whilst being proactive, resilient, and improvement-focused.

Data Analyst - Key Responsibilities

* Design, develop, and enhance enterprise-grade reporting and analytical solutions across sales and non-sales functions.

* Build and maintain automated, scalable analytical models using SQL Server, R, and Microsoft Excel.

* Develop interactive dashboards and visual analytics in QlikSense to support data-driven decision-making.

* Lead the migration of legacy Excel-based reporting into modern BI and analytics platforms, improving performance, usability, and governance.

* Develop and maintain competitor pricing, margin, and market intelligence models using SQL Server, R, and advanced Excel techniques.

* Collaborate closely with commercial and operational stakeholders to translate business requirements into analytical solutions.

* Proactively identify opportunities to improve data pipelines, reporting efficiency, and business performance.

* Continuously improve data quality, data structures, and analytical robustness.

* High attention to detail and strong focus on data accuracy, governance, and quality assurance.

Data Analyst - Skills & Experience

* Experienced Data Analyst / Scientist, with exposure of Business Intelligence platforms and analytical tooling.

* Strong stakeholder engagement skills with the ability to communicate analytical insights clearly to technical and non-technical audiences.

* Solid understanding of relational data models and analytical data structures.

* Advanced-level SQL / T-SQL skills, including ability to write complex joins, sub queries, views, and performance-aware query design.

* Intermediate-Advanced Microsoft Excel capability, including ability to create Pivot Tables, Power Query, complex formulas, external data connections and VBA.

* Proven, hands-on experience with R (or Python) for data analysis, statistical modelling and data transformation.

* Experience with Qlik Sense or similar BI tools (Power BI, Tableau); formal Qlik training can be provided.

The Data Analyst position is offering £40,000 - £45,000 basic salary plus benefits. This position is a full-time, permanent role, based at our client’s office in Bradford, with flexibility to work homebase 2 days per week.

All successful candidates will be contacted within 7 days of application for the position of Data Analyst. This position is being advertised by Technical Prospects Ltd. The services advertised by Technical Prospects Ltd are those of an Employment Agency

Industry Insights

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

Apr 9, 2026

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.

Apr 5, 2026

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.

Mar 24, 2026

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.