Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Assist customers with tech issues and perform basic data analysis.
- Company: QA Apprenticeships is a leading training provider with over 30,000 successful graduates.
- Benefits: Earn while you learn, flexible learning options, and personalised coaching.
- Why this job: Kickstart your career in a high-demand field with full support and a recognised qualification.
- Qualifications: 3 GCSEs at grades 4+ and Maths/English at grades 3+.
- Other info: No prior experience needed; just bring your ambition!
The predicted salary is between 12800 - 22400 £ per year.
Job Description
In today’s data-driven world, roles in data analysis—especially those focused on AI and automation—are in high demand. This apprenticeship gives you the skills, support, and confidence to succeed in an exciting career — no experience needed, just ambition. Â
Salary: Approx £16,000 per annumÂ
Interested? Apply now!
How will my apprenticeship work?
- Earn while you learn: Over 16 months, working towards a nationally recognised qualification.
- Get full support: With regular 1-to-1 check-ins, personalised coaching, and hands-on training.
- Learn flexibly: Through a blend of online sessions and in-person workshops.
What will I be doing?
- Helping customers with technical issues through email, chat, or phone.
- Using digital tools to do basic data analysis and spot useful insights.
- Fixing digital problems using the right software and support tools.
Where will my apprenticeship take me?
- A nationally recognised qualification.
- A new career.
- An employer vested in your future.
What do I need to apply?
- 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject.
- GCSE Maths and English (or equivalents) at grades 3+ (D or above).
About QA Apprenticeships:
Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed.Â
Apply today and start your career journey!
AI & Data Analyst Apprentice employer: QA
Contact Detail:
QA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Analyst Apprentice
✨Tip Number 1
Familiarise yourself with basic data analysis tools and concepts. Even though no experience is required, having a foundational understanding of tools like Excel or Google Sheets can set you apart during the interview process.
✨Tip Number 2
Show your enthusiasm for AI and data analysis by staying updated on industry trends. Follow relevant blogs, podcasts, or social media accounts to demonstrate your passion and knowledge during discussions with us.
✨Tip Number 3
Practice your communication skills, as you'll be helping customers with technical issues. Being able to explain complex concepts in simple terms will be crucial, so consider role-playing scenarios with friends or family.
✨Tip Number 4
Network with current apprentices or professionals in the field. Engaging with others can provide insights into the role and help you understand what we value in candidates, making you more prepared for your application.
We think you need these skills to ace AI & Data Analyst Apprentice
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the responsibilities and skills required for the AI & Data Analyst Apprentice position. Tailor your application to highlight how your ambitions align with the role.
Highlight Relevant Skills: Even if you lack direct experience, emphasise any relevant skills or coursework related to data analysis, problem-solving, or customer service. Mention your enthusiasm for learning and adapting to new technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and AI. Explain why you're interested in this apprenticeship and how it fits into your career goals. Be sure to convey your eagerness to learn and grow.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at QA
✨Show Your Enthusiasm for Data
Make sure to express your genuine interest in data analysis and AI during the interview. Talk about any relevant projects or experiences, even if they are from school or personal initiatives, to demonstrate your passion for the field.
✨Prepare for Technical Questions
While you may not have extensive experience, be ready to discuss basic data analysis concepts and tools. Familiarise yourself with common software used in the industry, as well as any relevant terminology, to show that you're proactive and eager to learn.
✨Practice Problem-Solving Scenarios
Expect to encounter hypothetical scenarios where you'll need to demonstrate your problem-solving skills. Think through how you would approach technical issues or data analysis tasks, and be prepared to explain your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask questions about the apprenticeship programme, the company culture, or potential career paths. This shows your interest in the role and helps you determine if it's the right fit for you.