Data Analyst

Technical Prospects Ltd

Dudley Hill, BD4 9LR, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Data Analyst

Lynx Recruitment London, United Kingdom

£40,000 – £65,000 pa On-site

Data Scientist

Sagacity London, United Kingdom

£40,000 – £60,000 pa On-site

Data Scientist (Machine Learning)

360 Resourcing Thame, United Kingdom

£50,000 pa Hybrid

Data Scientist (Machine Learning)

360 Resourcing Cheltenham, United Kingdom

£50,000 pa Hybrid

Lead Data Engineer

Canada Life London, United Kingdom

£70,000 – £100,000 pa Hybrid

Digital & AI Training Lead

National Skills Agency London, United Kingdom

£50,000 – £60,000 pa Remote

Posted: 28 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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Mar 24, 2026

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.