Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Guildford
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst (Data Science team)

Analyst, Data Science

Graduate - Data Science

Data Science Career Accelerator (Bristol)

Product Data Scientist

Data Scientists

Job Title: Data Analyst

Location: Guildford -Free Parking

Salary: £35,000 (based on experience)

Full time, Permanent

Hours: Monday -Friday

Benefits: 20 days +BH, Hybrid working, Comprehensive health and wellness programmes, Opportunities for career advancement, Engaging team culture with regular social events + so much more!

Overview:

Join a dynamic organisation that is passionate about harnessing the power of data!

Our client prides itself on owning all its raw data, with robust capabilities to extract, transform, and aggregate it into a secure environment. They are committed to delivering self-serve business insights through innovative tools, and they are looking for a motivated Data Analyst to be part of their exciting journey!

This is a great opportunity to to kick-start your career in data science and contribute to the organisation's ambitious goals!

As a Data Analyst, you will:

Define the right sets of data and understand the variables
Ensure all relevant data sources feed into the data environment
Create data models and relational models
Identify issues within data analytics and share insightful results
Utilise models and algorithms for data analysis
Transform data into compelling "stories" and create insightful reports
Communicate results and insights clearly to business leadersSkills/Experience:

Bachelor's degree in Data Science, Statistics, Mathematics, or a related field
Proficiency in MS Office 365
Familiarity with Azure Data Lake (Fabric)
Basic knowledge of PowerBI, Python, R, and SQL
Strong analytical thinking and problem-solving skills
Excellent communication abilities
Experience with data modelling and visualisation tools (desired)
Understanding of data governance and compliance standards desired)
Previous internship or project experience in data analytics (desired)
Familiarity with agile methodologies (desired)How to apply?

If you've got the experience and skills to take on this exciting role, don't wait - apply now! Click on the "apply" button or contact (url removed) for more information.

Office Angels is an employment agency. We are an equal opportunities employer who put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. We do this by showcasing their talents, skills and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.