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

Apply Now

Entry Level Data Analyst

Luton
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist, Proprietary Research

Data Scientist (Product Analytics)

Machine Learning Engineer

Data Scientist - Contract UK

Data Scientist - Contract UK

Data Scientist

Join a leading IT firm as a Entry Level Data Analyst and embark on a promising career path in data analysis. This entry-level role is ideal for recent graduates or individuals transitioning into the IT sector, offering a robust platform to develop analytical skills and contribute to impactful projects.
Responsibilities:

  • Support the collection and processing of complex data sets from varied sources to aid in decision-making processes.
  • Work closely with senior analysts to manage and optimise databases and analytical systems.
  • Utilise statistical methods to analyse data and generate useful business reports.
  • Participate in the design and implementation of data gathering and data processing systems.
  • Interpret data and collaborate with the IT team to enhance business operations through data-driven insights.
  • Prepare reports and visualisations to communicate findings to internal and external stakeholders.
    Requirements:
  • Holds a Bachelor’s degree in Data Science, Computer Science, Information Technology, or related fields.
  • Demonstrates strong analytical skills and precision in handling and interpreting data.
  • Familiarity with statistical software and tools (e.g., Excel, SPSS, SAS) and basic knowledge of SQL and data visualisation tools like Tableau.
  • Possesses excellent communication skills, capable of explaining complex data in a straightforward way.
  • Shows initiative, ability to work independently, and commitment to personal and professional growth.
    Offering:
  • A structured training program designed to build expertise in data analysis.
  • Career progression opportunities in a thriving and innovative sector.
  • Exposure to advanced technologies and methodologies in data handling.
  • A supportive and diverse team environment that fosters professional development.
    This position represents a fantastic opportunity for individuals eager to develop as data analysts within the rapidly evolving IT industry. Our client values diversity and encourages applications from all qualified candidates, regardless of background

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

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.

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.