What is the Level 4 Data Analyst Apprenticeship?

The Level 4 Data Analyst Apprenticeship develops professionals who collect, analyse and interpret data to provide useful insight and recommendations that support better decisions. It applies across a wide range of business, operational, customer and service contexts. It also develops the human-centred and management-related skills needed to make insight useful in practice, including stakeholder management, communication, prioritisation and influencing decisions.

How is this programme aligned to the 21st Century Public Servant research?

The programme is aligned to University of Birmingham’s 21st Century Public Servant research, which highlights the importance of digital confidence, adaptability, communication, relationships and working across complexity in modern public service work. That is why the programme combines data capability with stakeholder management, communication, judgement and adoption capability, rather than treating insight work as a purely technical discipline.

What does the Public Sector Data & AI Insight Management Programme teach through the Level 4 Data Analyst Apprenticeship?

The Public Sector Data & AI Insight Management Programme, delivered through the Level 4 Data Analyst Apprenticeship, develops practical capability to use data and AI to understand performance, identify opportunities and support better organisational decisions across public services. Participants also strengthen communication, collaboration, stakeholder leadership, analytical judgement and adoption capability, helping them turn insight into action and measurable outcomes.

Who is the Level 4 Data Analyst Apprenticeship suitable for, from junior roles upwards?

The Level 4 Data Analyst Apprenticeship is suitable for people working across analyst, reporting, insight and information roles. It is relevant from junior analyst roles upwards and can support a wide range of functions and sectors. It is relevant from junior analyst roles upwards and can support a wide range of public service functions and teams.

What does a Level 4 Data Analyst Apprenticeship role look like in public services?

The Level 4 Data Analyst Apprenticeship prepares people to work with data through the full insight process, from framing the question and preparing data to analysis, visualisation, recommendation and improvement. In public services, that can mean working on dashboards, performance reporting, service improvement, resident insight, operational analysis or management information that helps teams make better decisions.

Do participants need coding or technical experience for the Level 4 Data Analyst Apprenticeship?

No. The Level 4 Data Analyst Apprenticeship is not a pure technical engineering programme. It is designed for professionals working in business-aligned data and insight roles rather than specialist software engineering roles. The focus is on analysis, interpretation, communication, responsible use of data and using AI tools where useful to support stronger insight.

Is the Level 4 Data Analyst Apprenticeship funded through the Apprenticeship Levy?

Yes. The Level 4 Data Analyst Apprenticeship is fully fundable through the Apprenticeship Levy. The funding band is £15,000. It gives public sector employers a levy-funded route to build practical data and AI capability alongside the human-centred and management capability needed to align stakeholders and turn insight into action.

How long does the Level 4 Data Analyst Apprenticeship take?

The Level 4 Data Analyst Apprenticeship runs as a 12-month FTL delivery model combining 12 applied missions with final evidence consolidation and end-point assessment readiness. Participants typically commit around four hours per week of protected learning time while applying learning directly in role.

What qualifications do participants get?

Participants achieve the Level 4 Data Analyst Apprenticeship, aligned with the national occupational standard. Learners also gain Microsoft Azure AI Fundamentals certification, strengthening practical capability using AI tools.

How can public sector organisations build better data and insight capability through the Level 4 Data Analyst Apprenticeship?

The Level 4 Data Analyst Apprenticeship helps public sector organisations build stronger data and insight capability by developing people who can frame better questions, generate clearer evidence, communicate insight well and support stronger decisions.

Public Sector Data Analyst Apprenticeship Level 4

Level 4

Data Analyst Apprenticeship

Duration

12 months + end point assessment

Qualification outcomes

Level 4 Data Analyst Apprenticeship
+ Microsoft Azure AI Fundamentals certification

Audience

From junior analyst roles to more established data, reporting and insight professionals

Funding

Fully fundable via the Apprenticeship Levy - funding band £15,000

Time commitment

Approx. 4 hours per week protected learning time

Programme overview

Delivered through the Level 4 Data Analyst Apprenticeship, the programme develops practical data, AI and human-centred capability across analyst and insight roles while strengthening stakeholder management, communication and decision-making capability.

The programme is aligned to University of Birmingham’s 21st Century Public Servant research on the importance of digital and data confidence, adaptability, communication and relationships in modern public service work.

Skills and capabilities developed

AI data literacy

Data analysis

AI-assisted insight

Data visualisation

Stakeholder management

Decision-making

Communication

Data storytelling

Data governance

Public service impact

Evidence & outcomes

Our programmes deliver measurable improvements in data capability, human-centred management capability and organisational performance.

Microsoft AI Certification Included

Microsoft Azure AI Fundamentals included

Ofsted rated "good"

With 53% of participants promoted during or after the programme

100%

Participants report improved data and management capability

85%

Distinction rate across programmes, and 100% pass rate

Programme positioning

Who is this
programme for?

From junior analyst roles to more established data, reporting and insight professionals, this programme is for people responsible for analysing data, producing insight and supporting better organisational decisions across public sector organisations.

The role applies broadly across operational, service, performance, planning and improvement environments.

Data and insight roles

Junior data analysts
Data analysts
Insight analysts
Reporting analysts

Business and operational roles

Junior MI or reporting roles
Operations analysts
Performance analysts
Insight and planning roles

Service and public outcome roles

Service performance roles
Customer or resident insight roles
Policy and performance roles
Service improvement analysts

Functional and support roles

Junior information analyst roles
Finance or people analytics roles
Business intelligence support roles
Data and reporting roles across teams

Where this
programme fits

This programme builds the data, AI and human-centred capability public sector organisations increasingly rely on to turn information into better decisions and stronger performance.

It forms part of Future Talent Learning’s broader approach to building human, management and AI capability across the workforce.

Core data and insight capability pathway

Supports stronger decisions and service improvement

Strengthens communication, influence and adoption

Builds confidence using AI in data work

Complements AI, management and change development programmes

Capabilities developed

Participants strengthen practical data, AI and human-centred capability required to generate better insight and deliver measurable public service outcomes.

AI capability - Using AI safely and effectively in data analysis

Data capability – Finding, analysing and interpreting useful evidence

Human capability - Collaboration, communication and analytical judgement

Management capability – Prioritising work, managing scope and turning insight into action

Collaboration capability – Working with stakeholders and decision-makers

Transformation capability – Communicating insight, influencing decisions and embedding change

Organisational outcomes

Public sector organisations typically use this programme to strengthen data and insight capability from junior roles upwards and improve how evidence is used to make decisions and improve performance.

Clearer questions, metrics and measures

Stronger stakeholder alignment and decision-making

Better quality analysis and insight communication

More effective implementation of insight and recommendations

Improved public service impact and follow-through

Why this programme?

Our programme helps public sector organisations improve how data is used to support better decisions and stronger performance.

It develops the capability to frame questions, analyse evidence, use AI confidently and turn insight into action, alongside the management and human-centred skills needed to drive adoption and deliver impact.

Book discovery call Download prospectus

Levy-funded data capability

AI-enabled learning platform

Supported by Microsoft with AI certification

Built-in management layer

Time-efficient:
learning fits the working week

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.

12 month programme overview

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.

Curriculum missions

The programme is structured around 12 practical monthly missions linked to real data, insight and public service performance challenges.

Define the question

Clarify the decision, success measures and scope

Map stakeholders and requirements

Agree needs, priorities and acceptance criteria

Find and prepare the data

Source, clean and structure useful data

Check quality and trust the data

Improve reliability, consistency and confidence

Explore patterns and performance

Analyse trends, variation and key drivers

Use statistics for better decisions

Apply practical analytical methods confidently

Build clear charts and dashboards

Present the right view for the audience

Use AI to support analysis

Apply AI safely to accelerate insight work

Tell a clear story with data

Turn findings into clear messages and options

Share data safely and effectively

Handle storage, access, governance and distribution properly

Support decisions and improvement

Turn insight into actions, next steps and change

Embed reporting and track improvement

Track impact, maintain outputs and improve continuously

Live learning events

Live learning workshops allow participants to practise new approaches, discuss real data and public service insight challenges and deepen understanding through guided discussion.

How to use AI for better data analytics

Use AI safely to support analysis and insight

How to set the right metrics

Define useful measures that inform decisions

How to find the right data sources

Identify the most relevant and reliable evidence

How to handle data securely

Protect data and work responsibly

How to use SQL for analysis

Extract and query data more effectively

How to improve data quality

Reduce errors and strengthen confidence in outputs

How to combine datasets safely

Join, reconcile and validate data sources

How to analyse trends and performance

Identify patterns and explain what matters

How to use statistics for better decisions

Apply statistical thinking in practical ways

How to build dashboards that drive action

Make dashboards useful, clear and audience-led

How to tell a clear story with data

Communicate insight with clarity and influence

How to influence decisions with data

Turn analysis into action and follow-through

How to manage stakeholders

Map interests and build alignment early

How to frame problems

Define the right question before analysing

How to present with visual impact

Make charts and findings easier to understand

How to influence with data

Use insight to shape conversations and decisions

Leading change

Support teams through change and organisational transformation

Collaboration

Work effectively across operational, digital and technical teams.

Problem solving

Use structured thinking to diagnose and solve complex problems

Stakeholder management

Align stakeholders around automation priorities and improvement goals.

Live peer study groups

Monthly coach-facilitated sessions provide a structured space to exchange ideas, share challenges and explore how learning can be applied in real public service contexts.

What’s a good enough level of data quality?

Balance rigour, pace and practical decision needs

If stakeholders want certainty but the data is messy, what do you do?

Respond clearly without overstating confidence

When two dashboards disagree, which one do you trust?

Compare evidence and explain your judgement

How do you avoid misleading conclusions?

Spot bias, weak logic and false confidence

What’s the simplest analysis that still changes a decision?

Focus on usefulness, not over-analysis

How do you challenge senior intuition with evidence?

Influence without creating defensiveness

When priorities change mid-month, how do you re-scope cleanly?

Protect value while adjusting the work

Leading AI adoption in teams

Discuss how managers support colleagues using AI tools

How do you explain a difficult message with data?

Communicate sensitive findings clearly and constructively

When should you stop analysing and recommend action?

Balance rigour, pace and decision-making confidence

How do you make reporting more useful over time?

Improve outputs through feedback, relevance and iteration

How do you embed insight into everyday decisions?

Support follow-through, adoption and continuous improvement

Structured learning: approx. 4 hours per week

50%

AI-enabled learning + human coaching + interactive workshops

Participants build capability through a blend of:

• self-paced learning modules
• interactive live workshops
• guided exploration using AI learning tools
• peer study groups and coaching support.

These sessions introduce practical frameworks, tools and approaches that can be applied immediately at work.

Applied learning in the workplace: approx. 4 hours per week

50%

Applied & project-based learning

Participants apply learning directly to real workplace challenges through monthly missions and work-based data and insight tasks. Learning strengthens existing work.

This ensures development is:
• immediately relevant
• visible to the organisation with measurable productivity improvements
• embedded in day-to-day performance

Real workplace challenges drive learning.

Participants apply new skills directly to their role through structured monthly missions linked to real organisational priorities.

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

Frequently asked questions — Level 4 Data Analyst Apprenticeship

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

Speak to our team

Get in touch to explore how this programme could support your workforce development priorities and strengthen data, AI and insight capability across your public sector organisation.

We’ll get back to you within one working day.

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Skills and capabilities developed

Evidence & outcomes

Microsoft AI Certification Included

Ofsted rated "good"

100%

85%

Programme positioning

Who is this programme for?

Where this programme fits

Capabilities developed

Organisational outcomes

Levy-funded data capability

AI-enabled learning platform

Supported by Microsoft with AI certification

Built-in management layer

Time-efficient: learning fits the working week

12 month programme overview

Define the question

Map stakeholders and requirements

Find and prepare the data

Check quality and trust the data

Explore patterns and performance

Use statistics for better decisions

Build clear charts and dashboards

Use AI to support analysis

Tell a clear story with data

Share data safely and effectively

Support decisions and improvement

Embed reporting and track improvement

How to use AI for better data analytics

How to set the right metrics

How to find the right data sources

How to handle data securely

How to use SQL for analysis

How to improve data quality

How to combine datasets safely

How to analyse trends and performance

How to use statistics for better decisions

How to build dashboards that drive action

How to tell a clear story with data

How to influence decisions with data

How to manage stakeholders

How to frame problems

How to present with visual impact

How to influence with data

Leading change

Collaboration

Problem solving

Stakeholder management

What’s a good enough level of data quality?

If stakeholders want certainty but the data is messy, what do you do?

When two dashboards disagree, which one do you trust?

How do you avoid misleading conclusions?

What’s the simplest analysis that still changes a decision?

How do you challenge senior intuition with evidence?

When priorities change mid-month, how do you re-scope cleanly?

Leading AI adoption in teams

How do you explain a difficult message with data?

When should you stop analysing and recommend action?

How do you make reporting more useful over time?

How do you embed insight into everyday decisions?

AI-enabled learning + human coaching + interactive workshops

Applied & project-based learning

Real workplace challenges drive learning.

Frequently asked questions — Level 4 Data Analyst Apprenticeship

What is the Level 4 Data Analyst Apprenticeship?

How is this programme aligned to the 21st Century Public Servant research?

What does the Public Sector Data & AI Insight Management Programme teach through the Level 4 Data Analyst Apprenticeship?

Who is the Level 4 Data Analyst Apprenticeship suitable for, from junior roles upwards?

What does a Level 4 Data Analyst Apprenticeship role look like in public services?

Do participants need coding or technical experience for the Level 4 Data Analyst Apprenticeship?

Is the Level 4 Data Analyst Apprenticeship funded through the Apprenticeship Levy?

How long does the Level 4 Data Analyst Apprenticeship take?

What qualifications do participants get?

How can public sector organisations build better data and insight capability through the Level 4 Data Analyst Apprenticeship?

Who is this
programme for?

Where this
programme fits

Time-efficient:
learning fits the working week