Level 3 Data Technician Apprenticeship

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.

Level
Level 3
Data Technician Apprenticeship
Duration
Duration
14 months
Qualification outcomes
Qualification outcomes
  • Level 3 Data Technician apprenticeship 
  • Microsoft Azure AI Fundamentals certification
Audience
Audience
People aged 16-24 entering or early in their careers, including school and college leavers, apprentices, graduates entering suitable roles and emerging talent already building their careers.
Funding
Funding
Fully fundable via the Apprenticeship Levy - funding band £13,000
Time commitment
Time commitment
Approx. 4 hours per week protected learning time

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

Data collection and preparation
Responsible AI use
Data quality
Data analysis
Data visualisation
Secure data handling
Explaining insight
Working with stakeholders
Problem-solving
Evidence-led decisions

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.

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Microsoft AI Certification Included

Future Talent Learning is a Microsoft Training Services Partner

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Ofsted rated "Good"

Future Talent Learning is rated Good by Ofsted, reflecting the quality of education, learner development and support

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100%

Pass rate across FTL programmes

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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.

School and college leavers
  • Data and reporting roles
  • Business or operational support
  • Customer and service roles
  • Entry-level analytical roles
New Early Careers hires
  • Data support roles
  • Reporting or MI roles
  • Operations roles using data
  • Performance or service support
Graduates entering suitable roles
  • Graduate analysts
  • Finance or people roles using data
  • Customer insight roles
  • Operational or performance roles
Colleagues early in their careers
  • 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:

Early Careers data and reporting cohorts
Entry-level analytical roles
Finance, people and operations teams using data
Customer and service roles working with evidence
Performance and reporting functions
Broader Early Careers data capability
Progression towards more advanced data and insight roles

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:

Data capability - Collect, prepare, check, analyse and visualise information using appropriate tools and methods.
Human capability - Ask good questions, listen to others, communicate clearly, collaborate and develop confidence working with different people.
Evidence and judgement - Question assumptions, recognise limitations in evidence and use judgement before reaching conclusions.
Stakeholder capability - Understand what colleagues need, clarify the question being asked, test interpretations and explain findings appropriately.
AI and digital capability - Use digital and AI tools productively and responsibly while checking outputs, protecting information and maintaining human accountability.
Professional capability - Organise work, manage priorities, respond to feedback, take responsibility and build reliable workplace habits.

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:

Stronger data quality and everyday data practices
Clearer reporting and communication of insight
Greater confidence questioning evidence and assumptions
Better collaboration between data users and stakeholders
More responsible use of AI alongside data
Stronger evidence-led problem-solving
More consistent Early Careers development
A clearer pipeline into advanced data and insight capability

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.
01

Start well with data

Set expectations, organise work and build reliable habits.
02

Ask the right questions

Clarify needs before collecting or analysing data.
03

Find and prepare trusted data

Source, structure and document data for use.
04

Protect data and act responsibly

Handle information securely and follow workplace rules.
05

Check quality and challenge assumptions

Validate data, spot issues and question anomalies.
06

Analyse patterns with digital tools

Use appropriate tools to explore trends and differences.
07

Use AI with judgement

Apply AI, verify outputs and maintain accountability.
08

Explain data clearly

Translate findings for different workplace audiences.
09

Work with stakeholders

Understand needs, test interpretations and build trust.
10

Support evidence-led decisions

Present relevant evidence and practical recommendations.
11

Improve how data work gets done

Identify friction and test a practical improvement.
12

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.
01

How to ask better questions

Clarify the problem before starting the analysis.
02

How to find trusted data

Choose reliable sources for the task in hand.
03

How to prepare reliable data

Structure information clearly and document your approach.
04

How to handle data responsibly

Protect information and work within appropriate boundaries.
05

How to challenge data quality

Spot errors, question assumptions and raise concerns.
06

How to analyse patterns

Use digital tools to explore trends and differences.
07

How to use AI with data

Use AI appropriately and verify its outputs.
08

How to explain findings clearly

Translate evidence for different workplace audiences.
09

How to work with stakeholders

Understand needs, test interpretations and build trust.
10

How to support decisions

Turn evidence into useful recommendations and next steps.
11

How to improve data workflows

Identify friction and make everyday data work better.
12

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.
01

What are we solving?

How do you clarify the real workplace question?
02

Trusting the data

What makes evidence reliable enough to use?
03

Quality or speed?

When should you stop and check the data?
04

AI found this

What must you verify before using its answer?
05

Different interpretations

How do you challenge someone without losing trust?
06

Explaining the insight

What does your audience actually need to know?
07

Stakeholder pressure

What if someone wants a convenient answer?
08

Data and judgement

When should experience challenge what the numbers suggest?
09

Speaking up

How do you raise a data concern confidently?
10

Better decisions

What makes evidence genuinely useful to other people?
11

Improving the process

Which data habits create unnecessary work or risk?
12

What comes next

Which capabilities should you strengthen as responsibilities grow?

Weekly delivery model

Approx. 4 hours of protected learning time per week Those protected hours include a high level of direct support including regular 1:1 coaching

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.

Find out more about how our programmes work

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.

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Frequently asked questions - Smarter Start: Data Foundations - Level 3 Data Technician Apprenticeship

See our full FAQs page for more information or Contact us if you have any questions.
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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

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