Junior Data Analyst

e-Careers Limited
Coventry
10 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist – Remote Pricing & ML

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Experimentation

Senior Data Scientist - Experimentation

Senior Data Scientist - Experimentation

Are you looking to start a career in data analysis but don’t have prior experience? Join our team as a Trainee Data Analyst, and we will provide all the training you need to succeed in this exciting field.

This role is perfect for someone analytical, curious, and eager to learn, with a passion for working with data.

As a Trainee Data Analyst, you will work alongside experienced professionals and gain hands-on experience in data processing, analysis, and visualisation.

We’re committed to your development and will support you every step of the way as you grow into a skilled data analyst.

Responsibilities:

  • Data Collection & Processing: Assist in gathering, cleaning, and organising large datasets from multiple sources.
  • Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques.
  • Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format.
  • Collaboration: Work closely with senior analysts and other departments to understand business needs and contribute to ongoing projects.
  • Learning & Development: Participate in training sessions and apply new skills to real-world projects, with the opportunity to specialise in areas such as data science, business intelligence, or machine learning.
  • Documentation & Process Improvement: Assist with documenting analysis processes and identifying areas where data workflows can be optimised.

Requirements

We are looking for someone who has:

  • A passion for data and problem-solving.
  • Strong attention to detail and a methodical approach.
  • An eagerness to learn new tools and techniques.
  • Strong communication skills and the ability to work effectively in a team.

This role is Ideal for someone with no prior data experience but a keen interest in starting a career in data analysis.

Benefits

  • Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more.
  • Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role.
  • Hybrid Working: Enjoy a flexible work arrangement with a combination of remote work and office-based collaboration.
  • Supportive Team: Join a friendly, inclusive team that encourages growth and learning.
  • Competitive Salary: Receive a competitive starting salary with performance-based increases.
  • Health & Wellbeing: Access to health benefits and wellbeing initiatives.
  • Paid Time Off: Generous annual leave and public holiday allowances to support a healthy work-life balance.
  • Professional Growth: Opportunities to take on more responsibilities and specialise in areas of data analysis that interest you.

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

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.

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.