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Data Analyst

Level 4 apprenticeship

Empower your employees with the skills to unlock and communicate the full potential of data. This apprenticeship focuses on developing technical skills in core technologies and platforms, as well as the ability to source, analyse, and work with data to generate insights for informed decision-making.

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Overview

The Data Analyst apprenticeship is designed to equip individuals with the skills to unlock the power of data. Through this apprenticeship, learners gain technical proficiency in a range of core technologies and platforms, including Excel, SQL, Tableau, Power BI, Python, and R programming language. They learn the entire data process, from requirement-gathering, inspecting, cleansing, transforming, and modeling data, to developing crucial communication and visualisation skills to translate insights into informed and smarter decision-making.

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Average duration

Up to 15 months, plus 3 month assessment period

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Ofsted rating

Good | View report

Key skills

This apprenticeship provides your employees with the skills and knowledge to ensure that data is leveraged effectively for informed decision-making, projects deliver real value through actionable insights, and your organisation remains agile and competitive in a data-driven world.

Data modelling
Data processing
Data analysis
Data visualisation
Requirement gathering
Data inspection
Data cleansing
Data transformation

Who it's for

Data analysts take the guesswork out of critical business decisions. They transform raw data into actionable insights, enabling organisations to make smarter, more strategic decisions. This apprenticeship is ideal for:

  • New starters with an interest in data analysis
  • Existing employees who want to upskill or reskill into a data-focused role
  • Teams in department or sector - from IT and finance to HR and operations

How your organisation benefits

The programme is specifically designed to help your organisation use data and modern technologies to improve decision-making through gaining a thorough understanding of the current business situation.

Develops technical skills to use a range of core data analysis technologies

Helps identify inefficiencies and streamline processes

Support career progression and boosts staff retention

Applies learning and measurable impact to your organisation


Eligibility


Learner milestones

This overview outlines the key technical modules and project milestones based on the Data Analyst programme, excluding the supplementary on-demand skills elements.

Months 1-3

Data Analysis Fundamentals

This period focuses on the completion of the "Data Analysis and Visualisation" module, providing foundational skills in data analysis and visualisation using Excel.

Key skills:

  • Performing data analysis fundamentals.
  • Analysing data with pivot tables.
  • Transforming and reporting data.
  • Data visualisation using Excel.
  • Identifying data trends and using this to inform decision-making.

Months 3-6

Data visualisation and AI Integration

This stage develops skills in self-service Business Intelligence, covering data connection, cleaning, shaping, and creating interactive visualisations. It also introduces the use cases of Generative AI for data-driven roles.

Generative AI course

Keep your teams at the forefront of technological advancement. Explore how AI can drive creativity and efficiency across business functions. View course

Key skills:

  • Analysing data with self-service BI.
  • Connecting to data sources.
  • Performing data cleaning, profiling, and shaping.
  • Visualising data with Power BI.
  • Enhancing data analysis by adding and customising visual elements.
  • Modelling data with calculations.
  • Creating interactive visualisations.
  • Understanding Generative AI and its use cases for a data-driven role.

Months 6-9

Advanced Analysis, Statistics, SQL, and Data Modelling

Apprentices deepen their analytical capabilities by covering statistical analysis, handling complex and large datasets, and utilising Python and SQL for analysis and modelling purposes.

Key skills:

  • Understanding the fundamentals of Statistical Analysis.
  • Using Complex Statistical analysis to analyse complex and large data sets.
  • Using Python to query data and use various analytical tools.
  • Using SQL to perform various functions, including queries, joins, subqueries, sets, and managing tables.
  • Data modelling and designing databases.

Months 9-12

Introduction to Data Science with Python and R

Apprentices gain a solid foundation in using Python and R for complex data analysis.

Key skills:

  • Introductory Data Science Concepts.
  • Usage of tools such as Python and R for complex data analysis.

Months 12-15

Data Challenge and EPA Readiness

This period involves integrating learning from all modules and applying it in work-based projects to demonstrate overall competence as a Data Professional.

Key skills:

  • Holistic competency demonstration as a Data Professional
  • Consolidating skills and knowledge for EPA, including portfolio submission.

At a glance

Data Analyst

Level 4 apprenticeship

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Funding options


Levy payer

Fully-funded


Non levy payer

95% government funded

Start your career - apply today

Kaplan works with some of the biggest and best names in industry to create opportunities.

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At a glance

Data Analyst

Level 4 apprenticeship

Kaplan Brand Mark Logo

Funding options


Levy payer

Fully-funded


Non levy payer

95% government funded

Next steps

Looking to train future digital talent? Book a consultation with our expert Kaplan team.

Book a consultation

Unrivalled support

Our apprenticeships are uniquely designed to offer unparalleled support for both employers and learners. We provide expert-led, practical training and simulations that build transferable digital skills and instill a growth mindset - essential for effectively leveraging technology.

Support for employers

Clients benefit from comprehensive support to foster trust and collaboration, ensuring a successful apprenticeship experience.

  • Dedicated support

    Named client solutions contact and sector expert tutors ensure personalised guidance and relevant training throughout the apprenticeship journey.
  • Seamless onboarding

    Transparent application process, recruitment assistance for new vacancies, and clear visibility for line managers via learner portfolio dashboards.
  • Work-integrated learning

    Apprentices apply skills directly to your organisation, supported by timely, accurate tracking and real-world experience.

Support for apprentices

Apprentices receive robust support, ensuring they have access to the information and resources needed to succeed in their roles.

  • Comprehensive support

    Regular 1:1s with an industry-experienced Talent Coach, tutor access via email, and year-round Student Services support ensures consistent guidance.
  • Collaborative progress tracking

    Apprenticeship ePortfolio allows for real-time tracking, evidence uploads, communication with coaches, and peer-to-peer learning within a small industry cohort.
  • Practical and applied learning

    Interactive lab environments and work-based projects enable apprentices to contextualise and apply skills directly in the workplace.

Why choose Kaplan?

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Work-based learning

This programme offers a structured learning path that directly applies skills to the role and optimises off-the-job training time.

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High-Demand technologies

Apprentices will learn essential skills using technologies and programming languages such as Excel, SQL, Tableau, Power BI, Python, and R.

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Immersive, hands-on learning

Small, interactive classes support personalised learning, with simulated labs to build and test practical data analysis skills.

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Confident, capable employees

100% of Data Analyst apprentices report increased confidence applying their skills in the workplace*.


* Data taken from Q1 2025 post-apprenticeship and career progression report.

Hear from our apprentices

My talent coach’s dedication to my growth and development has been invaluable, and I’m fortunate to have her on this journey.

Chloe Auger

Level 3 ICT apprentice at C.I.KNOW


View case study

An apprenticeship is an amazing opportunity if you want to change fields or progress to a different area in your career.

monika wojdasova

Monika Wojdasova

Level 3 Data User apprentice at Harris Federation


View case study

Co-created with leaders in their field

Our commitment to excellence is evident in our strategic alliances with best-in-class key partners, bringing decades of leadership and specialist knowledge to every programme. This expertise underpins our rich content and immersive learning labs, driving tangible results.

Microsoft logoCertNexus logoCompTIA Authorized PartnerBCS Accredited Training Partneraccelerate-peopleSkillable logoCISCO Networking AcademyODI open data instituteDataCamp

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Next steps

For employers

Are you looking to train future digital talent? You're in the right place - contact us to find out how we can help.

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For learners

Are you an aspiring apprentice looking to develop the digital skills needed to prepare for a tech-driven future?

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