Data Technician Apprenticeship
+ Microsoft Azure AI Fundamentals certification
From junior data roles and support roles upwards
Fully fundable via the Apprenticeship Levy - funding band £12,000
Build practical data, AI and workplace capability to improve data quality, support decisions and strengthen smarter ways of working in financial services.
Data Technician Apprenticeship
From junior data roles and support roles upwards
Fully fundable via the Apprenticeship Levy - funding band £12,000
The programme is aligned to Financial Services Skills Commission research on the growing importance of AI, digital literacy, adaptability and human skills in financial services work.
Our programmes deliver measurable improvements in data capability, human-centred management capability and organisational performance.
Microsoft Azure AI Fundamentals included
With 53% of participants promoted during or after the programme
Distinction rate across programmes, and 100% pass rate
From junior data roles and support roles upwards, this programme is for financial services employees responsible for collecting, preparing, checking or communicating data to support everyday work and better decisions. The role applies broadly across operational, customer, reporting, risk and service environments.
Typical job titles include Data support analyst, Data technician, Junior data analyst and Junior information analyst.
Data and reporting roles
• Data support analysts
• Data technicians
• Junior data analysts
• Junior information analysts
Business and operational roles
• Junior MI or reporting roles
• Operations support roles using data
• Performance support roles
• Data administration roles
Service and coordination roles
• Customer or service support roles
• Team support roles using data
• Workflow or reporting support roles
• Operational coordination roles
Functional and support roles
• Junior finance data roles
• Junior people data roles
• Risk or compliance support roles
• Data handling roles across teams
This programme builds the foundational data, AI and human-centred capability financial services organisations increasingly rely on to improve data quality, support decisions and strengthen everyday performance.
It forms part of Future Talent Learning’s broader approach to building human, management and AI capability across the workforce.
Core data capability pathway
Supports better data quality and operational performance
Strengthens communication, judgement and trust
Builds confidence using AI in data tasks
Progression route into higher-level data and insight roles
Participants strengthen practical data, AI and human-centred capability required to make data more reliable, more usable and more valuable to financial services organisations.
Data capability – Collecting, preparing, validating and presenting data
Management capability – Planning work, meeting deadlines and supporting decisions
Collaboration capability – Working with colleagues and stakeholders clearly
Transformation capability – Improving standards, reducing duplication and embedding better practice
Financial services organisations typically use this programme to strengthen data capability from junior roles upwards and improve how data is collected, checked, shared and used in everyday work.
Better quality and more reliable datasets
Stronger compliance and safer data handling
Clearer communication of findings and issues
More effective support for decisions and improvement
Improved customer and business impact
Our programme helps financial services organisations improve the way work gets done by making data more accurate, more usable and easier to act on.
It develops the capability to collect, prepare, check and communicate data confidently, alongside the management and human-centred skills needed to build trust, support decisions and improve performance.
The real constraint with professional development is rarely funding — it is time.
Our programmes are designed to work with the flow of real work, not compete with it.
Participants typically commit around four hours per week, combining structured learning, coaching and applied missions directly linked to their role.
This ensures development strengthens day-to-day performance while building capability for the future.
Structured curriculum missions are combined with live workshops and peer learning so participants build capability progressively through real work. For more detail download the programme prospectus.
Participants apply new skills directly to their role through structured monthly missions linked to real organisational priorities.
This programme is also available in customised versions for Public sector or Financial Services sector. Speak to our team to discuss a bespoke solution for your workforce.
An outstanding programme to accelerate the development of future leaders. — Roger Minton, Head of Leadership, Anglo American
FTL’s highly customised programme has become the core of our management development strategy. The FTL team are slick, knowledgeable, responsive and a pleasure to work with. - Nick Dormor, Senior Learning Specialist, Babcock
FTL provides top-tier, highly engaging, innovative and effective methods of learning, leading to high success rates and impact that line managers can observe. — Ofsted, Sept 2024
The Level 3 Data Technician Apprenticeship develops professionals who collect and process data under the guidance of senior colleagues, helping teams use data more accurately, securely and effectively. Typical job titles include Data support analyst, Data technician, Junior data analyst and Junior information analyst.
It also develops the human-centred and professional practice skills needed to make data useful in real work, including communication, judgement, consistency and trust.
The programme is aligned to Financial Services Skills Commission research, which highlights the growing importance of AI, digital literacy, adaptability and human skills in financial services work.
That is why the programme combines practical data capability with judgement, communication, trust and continuous improvement, rather than treating data work as a purely technical discipline.
The Financial Services Data for Smarter Work Programme, delivered through the Level 3 Data Technician Apprenticeship, develops practical capability to collect, prepare, check and communicate data confidently and responsibly across financial services environments.
Participants also strengthen communication, judgement, stakeholder support and continuous improvement capability, helping them make data more reliable, more usable and more valuable in everyday financial services work.
The Level 3 Data Technician Apprenticeship is suitable for people working across junior data, reporting, support and information roles. It is especially relevant for earlier-career employees and support roles where people need to handle data carefully and help others use it effectively.
The Level 3 Data Technician Apprenticeship prepares people to work with data through practical tasks such as sourcing data, formatting datasets, checking quality, combining sources, building tables and charts, storing data securely and helping colleagues use findings in real work.
In financial services, that can mean supporting reporting, customer data, operational workflows, service data, management information or performance tracking that helps teams make better day-to-day decisions.
No. The Level 3 Data Technician Apprenticeship is not a specialist engineering programme. It is designed for people working in practical, business-aligned data roles rather than advanced technical roles.
The focus is on collecting, preparing, checking and communicating data, plus using AI tools safely where useful to improve everyday work.
Yes. The Level 3 Data Technician Apprenticeship is fully fundable through the Apprenticeship Levy, with a funding band of £12,000.
It gives financial services employers a levy-funded route to build practical data and AI capability alongside the human-centred management capability needed to improve trust, communication and everyday performance.
FTL delivers the Level 3 Data Technician Apprenticeship as a 12-month programme with 12 applied missions, followed by end-point assessment readiness. The current occupational standard is in revision nationally, but remains live for delivery.
Participants typically commit around four hours per week of protected learning time while applying learning directly in role.
Participants achieve the Level 3 Data Technician Apprenticeship, aligned with the national occupational standard.
Learners also gain Microsoft Azure AI Fundamentals certification, strengthening practical capability using AI tools.Many data courses focus only on tools or isolated technical tasks. The Level 3 Data Technician Apprenticeship focuses on applying data work in real organisational contexts, including data quality, secure handling, communication, support for decisions and continuous improvement.
It also develops the professional habits that make data work more useful in practice, including judgement, consistency, stakeholder communication and trust.
Get in touch to explore how this programme could support your workforce development priorities and strengthen foundational data, AI and workplace capability across your financial services organisation.
We’ll get back to you within one working day.