Entry Level Data Analyst

Luton
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

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

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

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

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 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.