Data Analyst

Build in-house capability to turn data into clear insight, support better decisions and improve business performance.

About

What's Involved

Content

Perfect For

Entry Criteria

Assessments

Output

How Much Is it?

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What is This Programme

A Data Analyst helps organisations turn their data into clear insights so leaders and teams can make much better decisions.

Over approximately 15 months, learners develop the knowledge, skills and behaviours needed to work with structured and unstructured data, clean and prepare datasets, explore patterns, test hypotheses and communicate findings effectively.

The programme builds capability in data governance, SQL, data modelling, analysis, visualisation, predictive techniques and stakeholder reporting, with practical learning applied directly in the workplace.

By the end of the apprenticeship, learners are equipped to turn data into insight, insight into action and action into measurable business results.

This Programme Aims To:

  • Work with structured + unstructured data from multiple sources
  • Clean, transform and prepare data for meaningful analysis
  • Explore data using appropriate analytical methods
  • Apply techniques to test hypotheses and identify patterns
  • Use models where relevant to support insight generation
  • Communicate results clearly to influence decisions
  • Uphold ethical, secure and governed handling of data

What's Involved?

Workshops + Workplace Learning

Learners develop their capability through expert-led workshops and practical workplace learning. Each module is designed to help participants apply data analysis, reporting and stakeholder communication skills directly in their day-to-day role.

Portfolio of Evidence

Throughout the programme, learners build a portfolio showing how they have applied their knowledge, skills and behaviours in the workplace. Evidence may include datasets, SQL queries, dashboards, reports, data models, stakeholder outputs, reflections and examples of business improvement.

Applied Project

A core element of the programme is applying learning in a live business project. Learners define a problem, prepare and analyse data, interpret findings and communicate recommendations that support measurable business improvement.

What You'll Learn?

Module 1

Data Analysis & the Data Lifecycle

Understand the Data Analyst role, responsibilities and end-to-end analysis lifecycle.

Module 2

Data Governance, Legislation & Ethics

Apply governance, security and ethical data practice in line with legal requirements.

Module 3

Data Structures & Database Fundamentals

Build strong foundations in data structures, relational databases and SQL basics.

Module 4

Data Collection, Extraction & Integration

Collect and integrate data from multiple sources using appropriate methods and tools.

Module 5

Data Quality & Data Cleansing

Improve data reliability through cleansing, validation and quality management techniques.

Module 6

Descriptive & Diagnostic Analytics

Use descriptive and diagnostic techniques to uncover patterns and inform decisions.

Module 7

Data Visualisation Fundamentals

Create clear visual communications and dashboards that support decision making.

Module 8

Advanced Data Analysis

Apply advanced analytical methods to interpret complex datasets and support forecasting.

Module 9

Predictive & Prescriptive Analytics

Use predictive techniques and models to support proactive decision making.

Module 10

Creating Dashboards & Reporting

Build interactive dashboards and automate reporting to support agile responses.

Module 11

Stakeholder Engagement & Requirements Analysis

Gather requirements effectively and tailor communication to business audiences.

Module 12

Applied Project: Problem Definition & Data Preparation

Apply end-to-end project skills to real workplace problems using robust data foundations.

Module 13

Applied Project: Analysis & Interpretation

Analyse project data and produce actionable insight for real business scenarios.

Module 14

Reporting & Recommendations

Present findings professionally and produce recommendation-led outputs aligned to business needs.

Module 15

Gateway to End Point Assessment

Consolidate evidence, prepare for EPA and demonstrate sustained workplace impact.

Who is it Perfect For?

Evidence-Driven Organisations

Ideal for organisations that want better business decisions based on evidence.

Teams Needing Better Reporting

Great for employers who need clear, trusted interpretation of data.

Performance-Focused Businesses

Suitable for organisations looking to improve planning and performance measurement.

Strategy & Insight Functions

Useful for teams that need data stories that support strategy and outcomes.

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Evidence-Driven Organisations

Teams Needing Better Reporting

Performance-Focused Businesses

Strategy & Insight Functions

What is The Entry Criteria?

Learners need to:

  • Be in a relevant role involving data, analysis, reporting or business insight
  • Have the opportunity to work with workplace datasets and business questions
  • Be able to complete workplace-based evidence and a practical data project

If English is your second language...

You must be able to understand and articulate yourself to a level that will allow you to benefit from and ultimately pass the End-Point-Assessment of the qualification.

Entry Criteria

How is The Programme Assessed?

End Point Assessment (EPA) takes place at the end of the apprenticeship and assesses the learner against the knowledge, skills and behaviours within the occupational standard.

The brochure highlights gateway preparation through portfolio synthesis, reporting, recommendations and project-based evidence that demonstrates measurable workplace improvement.

Applied project report and presentation

Learners prepare project-based evidence that demonstrates how they have defined a business problem, prepared and analysed data, and communicated findings that support business improvement.

Professional discussion supported by portfolio evidence

A structured discussion supported by workplace evidence such as queries, dashboards, reports, models, analysis outputs and reflections to demonstrate competence and impact.

What Learners Get Out of It

Level 4 Data Analyst Apprenticeship

Learners complete a Level 4 apprenticeship focused on practical data analysis capability in the workplace.

The programme develops skills in data governance, SQL, data preparation, analysis, visualisation, reporting and stakeholder communication.

By the end of the programme, learners can turn data into clear insight that supports better decisions, improved performance and measurable business results.

Benefits

  • Builds practical capability to collect, clean, transform and analyse data from multiple sources.
  • Develops confidence in using SQL, data modelling and analytical techniques to answer business questions.
  • Strengthens visualisation and reporting skills so insight can be communicated clearly to stakeholders.
  • Improves understanding of governance, legislation, ethics and secure handling of data.
  • Enables learners to test hypotheses, identify patterns and support evidence-based decisions.
  • Supports measurable business value through improved planning, reporting and performance insight.
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How Much is it?

For SMEs

Up to 100% Funded

Listed programme cost is £18,000, with funding support available up to 100% depending on employer and learner eligibility.

Free

For Larger Organisations

Levy Funded

Organisations with an annual wage bill over £3 million can fund the full cost of this programme through their Levy Funds.

£15,000 per learner

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Sounds Good?

Whether you’re looking to boost your team’s skills or kickstart your own career, our apprenticeship programmes offer the support and expertise you need to succeed. Get in touch today to discuss how we can help you unlock potential and achieve your goals.

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