- Level 3 Data Technician apprenticeship
- Microsoft Azure AI Fundamentals certification
Smarter Start:
Data Foundations
Give emerging talent the confidence to work with data and evidence, building the practical, digital, AI and workplace skills they need to contribute to better decisions from day one.
Programme overview
Smarter Start: Data Foundations is a structured Early Careers development programme for people aged 16-24 entering or early in their careers in an increasingly data-driven workplace. It gives employers a consistent way to develop emerging talent from day one, combining structured learning, practical workplace application and ongoing support.
Skills England's Employability Skills Framework, published in October 2026, creates a common national language for employability, drawing on established frameworks including the Gatsby Benchmarks, Skills Builder Universal Framework and FutureDotNow Essential Digital Skills Framework.
Smarter Start: Data Foundations is intentionally customised to align with these frameworks, applying them through a structured programme of workplace development focused on confident use of data, evidence and digital tools.
Skills and capabilities developed
Evidence & outcomes
Data Foundations is designed to build confidence working with data, strengthen evidence-led judgement and help emerging talent contribute to better decisions from the start.
Microsoft AI Certification Included
Future Talent Learning is a Microsoft Training Services Partner
Ofsted rated "Good"
Future Talent Learning is rated Good by Ofsted, reflecting the quality of education, learner development and support
100%
Pass rate across FTL programmes
85%
Distinction rate across programmes
Programme positioning
Who is this
programme for?
Data Foundations is designed for people aged 16-24 entering or early in their careers who work with data, reports or information and need to build practical data capability alongside communication, confidence and professional judgement.
It can apply across operational, finance, people, customer, service, performance and analytical roles. Fit depends on the work the learner will have the opportunity to undertake and the substantial new skills they need to develop, rather than a particular job title.
- Data and reporting roles
- Business or operational support
- Customer and service roles
- Entry-level analytical roles
- Data support roles
- Reporting or MI roles
- Operations roles using data
- Performance or service support
- Graduate analysts
- Finance or people roles using data
- Customer insight roles
- Operational or performance roles
- Existing colleagues developing greater data responsibility
- People producing or using reports
- Colleagues supporting evidence-led decisions
- Emerging talent developing analytical capability
Where this
programme fits
A structured Early Careers development pathway
Data Foundations is the core data and evidence pathway within FTL's Smarter Start Early Careers offer.
It brings the developmental discipline associated with strong graduate programmes to a much broader emerging-talent population, combining occupational data skills with professional communication, human judgement, AI capability and structured workplace development.
Employers get a consistent development framework from day one, with FTL providing the curriculum, coaching and learning support rather than relying on individual managers to create development informally.
Employers can use Data Foundations to support:
Capabilities developed
Data Foundations develops more than technical data skills. Learners build the data, human, digital and AI capability needed to use evidence effectively in a real workplace.
Learners develop across six connected areas:
Organisational outcomes
Data Foundations gives employers a structured way to develop emerging talent who can work more confidently with evidence and contribute to better decisions.
It can help organisations build:
Why this programme?
Data is part of everyday work across almost every organisation. Employers need emerging talent who can work confidently with evidence, question what they see and communicate findings clearly.
Data Foundations gives employers a consistent development framework from day one, helping emerging talent build practical data capability while supporting better decisions and improving how work gets done.
Dedicated development coach
AI-enabled learning platform
Supported by Microsoft with AI certification
Fully funded for 16-24 year olds
Time-efficient:
learning fits the working week
People early in their careers need protected development time, but they are also learning through the work itself.
Approx. 4 hours of protected learning time per week - one of the most time-efficient delivery models in the sector.
Those four hours are used for structured learning, including regular 1:1 coaching, interactive live workshops, peer study groups, online learning and Mentarri-supported learning and practice.
The rest of the development happens through applied learning in the flow of work, with learners using what they are building through real data, reporting, analysis, conversations, decisions and workplace challenges.
14 month programme overview
Structured curriculum missions are combined with live workshops, peer learning and one-to-one coaching, so participants build applied capability progressively through real work.
Download the programme prospectus for more detail.
Curriculum missions
The programme is structured around 12 applied missions that progressively build data capability alongside communication, human judgement, AI skills and professional confidence.Start well with data
Set expectations, organise work and build reliable habits.Ask the right questions
Clarify needs before collecting or analysing data.Find and prepare trusted data
Source, structure and document data for use.Protect data and act responsibly
Handle information securely and follow workplace rules.Check quality and challenge assumptions
Validate data, spot issues and question anomalies.Analyse patterns with digital tools
Use appropriate tools to explore trends and differences.Use AI with judgement
Apply AI, verify outputs and maintain accountability.Explain data clearly
Translate findings for different workplace audiences.Work with stakeholders
Understand needs, test interpretations and build trust.Support evidence-led decisions
Present relevant evidence and practical recommendations.Improve how data work gets done
Identify friction and test a practical improvement.Show your impact and grow
Present outcomes, use feedback and plan progression.Live learning events
Live learning workshops help learners build practical data capability alongside the communication, judgement and AI skills needed to use evidence effectively at work.How to ask better questions
Clarify the problem before starting the analysis.How to find trusted data
Choose reliable sources for the task in hand.How to prepare reliable data
Structure information clearly and document your approach.How to handle data responsibly
Protect information and work within appropriate boundaries.How to challenge data quality
Spot errors, question assumptions and raise concerns.How to analyse patterns
Use digital tools to explore trends and differences.How to use AI with data
Use AI appropriately and verify its outputs.How to explain findings clearly
Translate evidence for different workplace audiences.How to work with stakeholders
Understand needs, test interpretations and build trust.How to support decisions
Turn evidence into useful recommendations and next steps.How to improve data workflows
Identify friction and make everyday data work better.How to present your impact
Communicate outcomes, feedback and what you learned.Live peer study groups
Monthly coach-facilitated study groups give learners space to discuss real workplace dilemmas, compare perspectives and build confidence using data, AI and judgement together.What are we solving?
How do you clarify the real workplace question?Trusting the data
What makes evidence reliable enough to use?Quality or speed?
When should you stop and check the data?AI found this
What must you verify before using its answer?Different interpretations
How do you challenge someone without losing trust?Explaining the insight
What does your audience actually need to know?Stakeholder pressure
What if someone wants a convenient answer?Data and judgement
When should experience challenge what the numbers suggest?Speaking up
How do you raise a data concern confidently?Better decisions
What makes evidence genuinely useful to other people?Improving the process
Which data habits create unnecessary work or risk?What comes next
Which capabilities should you strengthen as responsibilities grow?Weekly delivery model
Protected structured learning: approx. 4 hours per week
AI-enabled learning + human coaching + interactive workshops
Learners build capability through a blend of:
• Self-paced learning modules
• Interactive live workshops
• Mentarri-supported learning and practice
• Peer study groups
• One-to-one coaching support
These activities introduce practical frameworks, tools and approaches that learners can apply immediately at work.
Applied learning in the workplace
Learning applied through real work
The rest of the development happens through the learner's real role.
This can include:
• collecting and preparing data
• checking data quality
• investigating live questions
• analysing patterns
• preparing reports and visualisations
• explaining findings
• working with stakeholders
• using AI appropriately with data
• explaining findings
• improving everyday data processes
Learning shows up as better work, not time away from it.
The FTL learning experience
A high-support learning experience for Early Careers
Smarter Start combines structured learning with regular human support, personalised practice and peer learning, giving people early in their careers somewhere to turn as they navigate unfamiliar workplace situations.
Smarter Start gives people early in their careers somewhere to turn as they navigate unfamiliar workplace situations.
Every learner has their own experienced development coach, with regular one-to-one sessions typically around every 10 days. Coaches help learners prepare for unfamiliar situations to become increasingly independent at work.
Related programmes and pathways
This programme is also available in customised versions for Public sector or Financial Services organisations
Speak to our team to discuss a bespoke solution for your workforce
or download the programme prospectus for more detail.
Smarter Start: Business Foundations Programme
12 months
Emerging talent aged 16-24 building broad professional and workplace capability
Build communication, judgement, business, digital and professional skills for confident contribution
Smarter Start: AI Foundations Programme
12 months
Young people aged 16-24 entering or early in their careers
Building confidence with AI and digital tools
Data and Insight Management Programme
14 months
Professionals improving reporting, analysis or decision-making using data
Build practical data, AI and management capability to turn data into insight, improve decision-making
Frequently asked questions - Smarter Start: Data Foundations - Level 3 Data Technician Apprenticeship
Data Foundations is FTL's structured Early Careers data development programme for people aged 16-24 entering or early in their careers.
It combines practical data capability with communication, professional judgement, digital and AI skills, extensive coaching and applied workplace learning.
The programme is delivered through the nationally recognised Level 3 Data Technician Apprenticeship.
The programme is designed for people aged 16-24 who work with data, reports or information and need to develop substantial new skills.
It can suit school and college leavers, new Early Careers hires, graduates entering appropriate roles and existing colleagues early in their careers across operational, finance, people, customer, service, performance and analytical functions.
Fit is determined by the work the individual will have the opportunity to undertake and the new skills they need to develop, rather than by a specific job title.
No specialist data background is required.
The programme develops practical capability progressively, from asking good questions and preparing reliable data through to analysis, communicating findings and supporting evidence-led decisions.
Learners do need appropriate opportunities to work with data or information in their role so they can apply what they are learning.
Data Foundations is underpinned by the Skills England Level 3 Data Technician Apprenticeship standard and its occupational knowledge, skills and behaviours.
Its wider Early Careers design is intentionally aligned to the Skills England Employability Skills Framework, which provides a common national language for employability, alongside the Gatsby Benchmarks, Skills Builder Universal Framework and FutureDotNow Essential Digital Skills Framework.
FTL translates these frameworks into practical workplace development through coaching, applied missions, live learning and peer study groups.
Learners develop the ability to collect and prepare data, improve its quality, analyse information, identify patterns and present findings clearly.
They also learn to ask better questions, work with stakeholders, question assumptions, use evidence to support decisions and use AI appropriately while maintaining human judgement and accountability.
AI capability runs throughout the programme rather than sitting in a standalone module.
Learners explore how AI can support data work while learning to question outputs, check accuracy, recognise limitations, protect information and remain accountable for the conclusions they draw.
Every learner also works towards Microsoft Azure AI Fundamentals certification.
The principle is: AI fluency + human judgement, not AI dependence.
Data Foundations runs for 14 months, with approximately 4 hours of protected learning time per week.
Those four hours are used for structured learning, including regular 1:1 coaching, live learning workshops, peer study groups, online learning and Mentarri-supported learning and practice.
The rest of the development happens through applied learning in the flow of work, with learners using what they are building through real data, reporting, analysis, conversations, decisions and workplace challenges.
Assessment and feedback are integrated throughout the programme so learners can demonstrate, reflect on and strengthen their capability as they progress.
For eligible apprentices aged 16-24 at the start of their apprenticeship training, training and assessment can be 100% funded in England, up to the £13,000 funding-band maximum, whether or not the employer pays the apprenticeship levy.
Funding rules and eligibility criteria apply. FTL can help employers confirm eligibility and the funding position for a proposed cohort.
Data Foundations creates a foundation for stronger performance in the learner's current role and for greater responsibility as their capability develops.
For learners whose work progresses into more advanced analysis, insight and decision support, a natural next pathway is FTL's Data & Insight Management Programme, delivered through the Level 4 Data Analyst Apprenticeship.
Start with the pathway that fits the work now, then build from there as responsibilities grow.
Data Foundations is delivered through the Level 3 Data Technician Apprenticeship, ST0795.
The apprenticeship develops the capability to source, format and present data securely for analysis, alongside the knowledge, skills and behaviours needed to work responsibly and effectively with data.
FTL customises that occupational foundation specifically for Early Careers, integrating human capability, professional judgement, AI and structured workplace development.
Talk to our team
Build data capability from the start of a career
Smarter Start: Data Foundations gives employers a structured, funded way to develop emerging talent who can work confidently with data, communicate evidence and contribute to better decisions.
FTL can help you map suitable roles, confirm eligibility, shape your cohort and integrate the programme with your wider Early Careers strategy.
Talk to us about Smarter Start cohorts