Level 4
Develop the ability to analyse data and turn it into useful business insight. The programme covers databases and SQL, Power BI and data visualisation, Python, data analysis and the application of AI in analytics.
Data Analyst Apprenticeship
Online pre-learning, face to face or online workshops. Coaching sessions and progress reviews
Programmes are delivered on demand starting at many points through the year
Apprentices are assessed against Knowledge, Skills & Behaviour criteria throughout the programme. Leading to independent End Point Assessment
The cost of this programme is covered through the apprenticeship levy. Employers that do not pay into the levy may pay just 5% of the funding value
Apprentices apply their learning to workplace responsibilities, helping connect technical development with the needs of the organisation.
Our portfolio covers IT support, data, analytics, cyber security and business analysis, enabling employers to explore different routes to building digital capability.
Technology and data skills are most valuable when they support business outcomes. Our programmes emphasize practical application, problem-solving and workplace relevance.
We help employers explore apprenticeship routes that fit the learner’s role and development needs, with programme support designed to help people progress.
Digital and technical skills continue to shape how organisations work, manage risk and make decisions. Developing these capabilities internally can help businesses respond to changing demands and prepare people for evolving responsibilities. MetaGedu’s Digital & IT apprenticeships provide structured development routes for individuals working in technical and analytical roles.
We also offer expertise across Financial Services, Insurance and Professional Services, allowing employers to explore development opportunities beyond a single discipline.
The Data Analyst apprenticeship develops the skills to turn business data into meaningful insights that support better decisions and improved performance. Apprentices learn to work with databases and use tools such as SQL, Power BI and Python to analyse information, identify trends, create reports and communicate findings. They also explore how AI can support data analysis. By applying these skills to real business challenges, apprentices can help organisations understand performance, spot opportunities, solve problems and make more informed, evidence-based decisions.
Absolutely! The Data Analyst Apprenticeship is not just for new recruits; it’s also an excellent opportunity for existing employees to further develop their skills and gain qualifications. Employees aged 16 or older can enrol in this apprenticeship.
Potential roles:
This pathway can provide a foundation for further professional development, including progression towards higher-level business administration roles.
£1,000 for each young apprentice recruited
£2,000 for an apprentice hired on foundation apprenticeships
£2,000 for an apprentice hired up to 3 months before October 2026
£3,000 for an apprentice hired on universal credit 6 months +
No NICS
No employer National Insurance contributions for apprentices aged under 25 years old.
100% Funded
Government pays 100% of training costs for non-levy employers for any apprentice 16-24 years old.
Levy Transfer
Large employers can transfer up to 25% of their annual Apprenticeship Levy to other businesses.
Skills shortages and staff retention continue to be major challenges for UK businesses. Apprenticeships provide a cost-effective solution for businesses in all industries to attract new talent and invest in workforce development. By training staff with the right skills, employees can take on a broader range of tasks and new responsibilities. This helps address skill shortages, reduce staff turnover, enhance customer experience and boost productivity.
This programme develops confident, job-ready data analysts with strong technical and analytical capability. Learners build practical skills in SQL, Power BI, Python, and AI supported analysis, turning raw data into clear insights that drive business decisions.
Through real workplace projects and portfolio development, they strengthen problem-solving, data storytelling, and professional judgement – finishing ready to add value in analyst roles from day one.
Module details and duration:
A Data Analyst apprentice can add significant value by helping a business understand what its data is really telling it – and using those insights to improve performance. Rather than simply producing reports, they learn to analyse information, identify patterns, uncover problems and highlight opportunities that support better business decisions.
They can help a business,make smarter decisions, improve business performance, identify cost savings, understand customers and predict opportunities and risks.
Develop practical IT skills in computing, troubleshooting, networking, cloud technologies and technical support. This programme supports the development of people who can help maintain effective technology services and assist users with technical issues.
Build foundational data skills to collect, manage, analyse and present information effectively. Learning includes data fundamentals, Excel, Python, databases, SQL and data visualisation.
Develop technical knowledge and practical capability in cyber security, including programming, networking, security analysis and security practice. This pathway supports the development of people who can contribute to an organisation’s security capabilities and understanding of cyber risk.
Develop skills to understand business requirements, examine processes, work with data and support improvement initiatives. The programme includes business analysis fundamentals, data analytics, business intelligence and reporting, as well as AI and automation.
