National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Trainee Data Analyst

Merton Park
7 months ago
Applications closed

Related Jobs

View all jobs

Legal Onboarding Specialist

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Assessor / Trainer - Data Technician and Business Analyst

Assessor / Trainer - Data Technician and Business Analyst

Assessor / Trainer - Data Technician and Business Analyst

Our client, a leading innovator in the IT and tech sector, is seeking a motivated and detail-oriented Trainee Data Analyst to join their dynamic team. This is an excellent opportunity for someone looking to kickstart their career in data analytics, working alongside industry experts and gaining valuable hands-on experience. If you are passionate about data, eager to learn, and excited to work in a fast-paced environment, this role is perfect for you.

Key Responsibilities:

  • Assist in the collection, analysis, and interpretation of data to support strategic business decisions.

  • Work closely with senior data analysts and stakeholders to develop and maintain dashboards, reports, and visualizations that provide meaningful insights.

  • Support data quality initiatives by identifying and resolving inconsistencies, ensuring accuracy and reliability of the data.

  • Participate in cross-functional meetings to understand business requirements and translate them into data-driven solutions.

  • Collaborate with different teams to gather data requirements and help deliver actionable insights that contribute to improving overall business performance.

  • Contribute to the automation of data processes to streamline reporting and analysis activities.

    Ideal Candidate:

  • A recent graduate with a degree in Mathematics, Computer Science, Statistics, Data Science, or a related field.

  • A strong analytical mindset and a passion for working with data to solve complex problems.

  • Basic understanding of SQL, Excel, or other data analysis tools, with a desire to develop these skills further.

  • Strong attention to detail, with the ability to identify trends and anomalies in data sets.

  • Excellent communication skills, both written and verbal, with the ability to explain data insights to non-technical stakeholders.

  • A proactive and curious attitude, eager to learn and grow in a dynamic and fast-paced environment.

  • Ability to work effectively as part of a team, as well as independently when required.

    What We Offer:

  • A comprehensive training program designed to develop your skills in data analytics and provide you with the tools you need to succeed.

  • Mentoring and guidance from experienced data professionals who are passionate about helping you grow your career.

  • Exposure to a wide variety of data projects and technologies, giving you a well-rounded foundation in data analysis.

  • Opportunities for career growth within the company, with a clear path for progression as you develop your skills and experience.

  • A supportive and inclusive work culture that values diversity and encourages continuous learning and development.

  • Competitive salary package, including benefits such as healthcare, pension, and paid time off.

    If you are ready to take the first step towards an exciting career in data analytics and want to work with a leading tech company that values growth and innovation, we would love to hear from you
National AI Awards 2025

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 Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.