Data Analyst

Jacob's Well
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst (Cars Data Science & Analytics) - Manchester, UK

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Junior Data Scientist / Data Analyst

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Data Scientist

Data Scientist

Data Analyst - On-Site in Guildford - Paying up to £50k
  
My client are a software and services company delivering bespoke competence management software, operating in the UK and internationally.
  
The objective of the Data Analyst’s role is to support the work of the Data Team. You will be responsible for two main areas of work:

Reviewing, refactoring and debugging the reports that customers run.
Developing the second generation of reports used by our customers for their competence management operations. This requires skills refactoring SQL procedures as well as skills using the report-building software Jaspersoft Studio. My client is looking for someone with the below skillset:
  
Essential:

Knowledge and experience of working with large relational databases
Proficiency and experience in writing advanced SQL queries, including knowledge of CTEs, window functions, cursors, stored procedures, query plans and optimisation
Experience creating complex functions and stored procedures in SQL
Strong problem-solving skills with experience debugging and error fixing with a keen eye for detail
A proactive attitude in identifying and fixing data quality and code issues
Formal training and/or work experience in Data Analytics or Data Science
Excellent communication skills with the ability to translate technically complex ideas to effectively collaborate with non-technical personnel   
Desirable:

Knowledge and experience of Jaspersoft Studio
Proficient understanding of code versioning tools such as SVN   
The overall package includes a generous holiday package.
  
This role is only applicable to UK citizens, sponsorship is not available.
  
If this is something you are interested in please apply or email your CV to (url removed)

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.