Data Analyst

Hounslow
10 months ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist

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

Data Scientist GIS - Remote

Data Scientist (GIS) – Remote

Data Science Trainee

Graduate Data Science & Analytics Programme

ROLE: Data Analyst - Temp to perm
LOCATION: Hounslow, with free onsite parking
UP to £35-40,000 depending on skills/experience
HOURS: 8am - 5pm, office based (40 hours a week)

We are looking for a Data Analyst / Data Engineer who can help us gain valuable insights to enhance our business and this role will be part of exciting future projects.

Role Overview:
As a Data Analyst, the candidate will play a crucial role working closely with the Business Manager and Director, collaborating with teams across the business to analyse data, identify trends, provide future forecast through data modelling and data engineering, to provide insights and recommend process and system improvements. Your work will be instrumental in helping to build data models to improve services to a variety of stakeholders.

Your Responsibilities:
*You will analyse, conduct trend analyses, forecast and provide data insights from various data sources, data sets and systems

  • Analysing both legacy and current data to identify trends and forecasts
  • Using software applications such as Power BI, Python, Tableau or Excel etc to build data visualisations
  • Create reports using appropriate tools relevant to the data being presented.
  • Present findings and insights to management teams.
  • Collaborate with teams to propose and implement new processes
  • Develop dashboards and run reports
  • Discuss insights with senior members of the business and make recommendations based on your analysis

    Be able to present insights to non-technical stakeholders

    You should possess the following:
    Previous experience in a Data Analyst position or a similar role involving data analysis
    Advanced knowledge of Excel, including VLOOKUPs, Pivot tables, and formatting

    Relevant tools and software (e.g., Python)
    Good working experience of GIS software

    Understanding of machine learning, data engineering etc.

    Power BI, and SQL is a plus
    Strong attention to detail
    Effective communication and presentation skills, as you will be working with all levels of managers across the business, internally and externally

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.

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.