Entry Level Data Analyst

Slough
9 months ago
Applications closed

Related Jobs

View all jobs

Data Science Apprentice – Level 6 (Degree)

Data Science Apprentice – Level 6 (Degree)

2026 Apprentice - Digital (Data Science) - Belfast

Data Scientist & ML Engineer - UK (Master’s Required)

Junior Data Scientist

Junior 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.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

🍪 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.