Data Analyst (Level 4)

No matter how much data or technology is at your disposal, transformation comes when you have people capable of not just using it, but unlocking and communicating its potential.

With sharp analysis at its heart, a Kaplan Data Analyst apprenticeship is anything but standard.

As well as developing technical skills using a range of core technologies and platforms, apprentices learn to weave together the ability to source, analyse, work with data and generate insights that underpin decisions that can build a case for change.

Who's it for?

This apprenticeship is ideal for new talent in the organisation with an active interest in data or existing staff taking on a more data centric role. It’s suitable for Junior or aspiring Data Analysts working in any industry or sector.

If you’re seeking to maximise the benefit of time used as part of off-the-job training and develop technical capability coupled with sector relevant skills that can be directly applied to the role, this apprenticeship might be the right option for you.

Job roles

Individuals on this apprenticeship are employed in a variety of roles across most departments within an organisation. Iit’s more about what you do in your job role than the actual title.

One of the key things to success is that the job role and Line Manager provide the opportunities, support and relevant work based projects to be able to contextualise and apply the apprentice’s learning back in the workplace, to gain real competency in that area.

Career progression

An apprentice’s journey doesn’t end when their apprenticeship has finished. This is just their first step to becoming a data professional. The next steps could be to work towards more advanced data analysis qualifications, take up higher education studies at a university, or start a level 6 technology apprenticeship.

Eligibility

Regardless of age or prior attainment, anyone can do an Apprenticeship provided they’re learning new skills and are employed in England, in a relevant role. Kaplan will support you to assess the job role suitability as part of your application.

To do this apprenticeship employers may specify that candidates must have at least a grade 4/C GCSE (or equivalent) in Maths and English. If apprentices don’t have this level of Maths and English, Kaplan offers free resources and support to make sure they develop their understanding of the subjects and application by the end of their apprenticeship.

Apprentices typically have one of the following:

2 A Levels or International Baccalaureate or any other Level 3 qualification such as a BTEC Extended Diploma
A Level 3 apprenticeship
12 months of work experience in the last 24 months if they do not have any other Level 3 qualifications

Level

Level 4

Apprenticeship

Data Analyst

Up to 15 months plus a 3-month assessment period

Costs / funding band

£15,000
Free for learners

Optional qualifications

Optional exam and certification in Microsoft Office Specialist: Excel Associate

Looking to recruit or upskill existing staff?

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About the programme

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Help your people make better decisions

The Data Analyst apprenticeship will help your people make better decisions through the right skills, knowledge and behaviours to understand what's going on today, and help you transform your business for tomorrow.

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Learn skills that are in high demand

Including Excel, SQL, Tableau, Power BI, Python and R programming language.

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Bring insights to life

Apprentices will learn the process for requirement-gathering, inspecting, cleansing, transforming and modelling data and develop key communication and visualisation skills to help bring insight to life, informing, predicting and supporting smarter decision-making.

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Support for apprentices

Each learner has regular 1:1 contact and progress reviews to keep them on track, review their portfolio, and get them fully prepared for their final assessments.

The logos of Microsoft Excel, Power BI, Tableau Software, Python and R Programming

Included in this apprenticeship

Our Data Analyst apprenticeship programme integrates six modules of technical training with work based projects. This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training.

For each module, learners benefit from attending small, scheduled Live Online classes taught by a subject matter specialist, combined with additional online learning that can be completed at their own pace. Each of our live classes are interactive and discursive, giving apprentices quality time with tutors and sector peers to support the development of their knowledge and skills and bring new perspectives to their thinking. Learners also get practical lab time to hone their skills and practice using real data in a safe but simulated environment.

2 days

Microsoft Office Specialist: Excel Associate

Fundamentals of creating and managing worksheets and workbooks, creating cells and ranges, creating tables, applying formulas and functions, and creating charts and objects.

Manage worksheets and workbooks
Manage data cells and ranges
Manage tables and table data
Perform operations by using formulas and functions
Manage charts

4 days

Data and Visualisation using Tableau and Power BI

This module equips learners with modern analytical skills and the ability to analyse trends in data and generate business intelligence for enhanced business operations and better decision making in day to day business.

It will cover:

Importance of data
Types of data and data sources
The data analytics lifecycle
Data Visualisation using Tableau and Power BI

5 days

Data Analysis and Statistics

This module builds on the previous module to help learners understand different types of analysis including statistical analysis of data.

It will cover:

Data analysis and Pre-processing techniques
Statistical techniques
Predictive Analytics including data mining
Supervised and Unsupervised learning
Testing and Evaluation
Introduction to Statistics and Probability
Hypothesis Testing and Experimentation
Python Basics

5 days

SQL and Data Modelling

This module will introduce learners to data modelling and SQL databases.

It will cover:

Types of databases, their importance and applications
Using SQL to perform various functions including queries, joins, subqueries, sets and managing tables
Data modelling and designing databases
Cloud based databases and their applications

3 days

Exploring Data Science using Python and R

This module will explore advanced data analysis concepts and working with various tools that will support working with large datasets. It will delve into concepts of big data and the links between a data analysis and data science role.

It will cover:

Introductory Data Science Concepts
Usage of tools such as Python, R and Hadoop
Cloud based tools for data analysis

2 days

Data Challenge workshop

This two-day workshop will take the learner through a practical application of a data project.

Learners will be provided with a practical project structure which will involve working through various data analysis activities. This will include working with a large data set, processing data, gathering insights from the data and presenting this in an appropriate format.

The data challenge will help support the learner in preparing them for their End Point Assessment giving them an opportunity to build their data analysis skills in an immersive exercise getting real time feedback as they hone their skills.

Skills development

To complement the technical training, apprentices will develop sector relevant skills at the right time for their job role.

Throughout the programme, the Talent Coach will support the apprentice and their line manager to identify opportunities to apply their new learning through work activities and projects. This provides a framework for the apprentice to develop and demonstrate the skills and behaviours required in a holistic way. The skills and behaviours are contextualised enabling evidence of competency to come from real-work that contributes to their business.

Optional

Generative AI course

A one-day online course during which apprentices will learn about AI, discuss the theories and practice behind it, and leave with an action plan for further development. Bring significant value to your organisation with our Generative AI course.

Optional

Online development sessions

Our Data Analyst Apprenticeship programme also includes optional online development sessions in Time Management, Personal Impact, and Presentation Skills. These interactive sessions focus on key Skills and Behaviours that will benefit your learners' development.

View all modules

Timetables

Programmes are running regularly throughout the year. View our timetables for scheduled Live Online sessions to see when the next one is running.

View timetables

Why choose Kaplan to do a Data Analyst apprenticeship?

Harness the power of data analysis

Our Data Analyst apprenticeship programme is perfect for upskilling or reskilling your workforce, providing the skills and tools to create transformation.

Leading partners

Underpinned by specialist content and learning labs co-created with leaders in their field; Microsoft, Tableau, Python, developing your skills in a range of technologies and platforms, not just one.

Comprehensive learning

Learners attend scheduled, interactive Live Online classes involving lots of practical discussion and application, and combine this with additional online learning that can be completed at their own pace.

Expert teaching

Our tutors are all subject matter experts, with real world experience, and teach groups of diverse learners from organisations across the UK.

Support for employers:

Named client solutions point of contact to support you at every stage
Recruitment service to help you hire an apprentice for a new vacancy
Transparency throughout the application and onboarding process for your learners
Sector expert tutors and talent coaches delivering relevant training and development
Learning that is applied to your organisation through work based experience
Accurate, timely and accessible tracking for each learner
Line Manager visibility of your learner’s portfolio dashboards

Support for learners:

Tutor contact via email outside of scheduled classes
Regular 1:1 contact and progress reviews with their line manager and a named, industry experienced talent coach to keep them on track, review their portfolio and get them fully prepared for their End Point Assessment.
Peer to peer contacts from across the industry as part of a small cohort - creating opportunities to spark new ideas and get new perspectives
Apprenticeship ePortfolio to track their progress, capture off-the-job activity and hours, manage and capture progress reviews, upload evidence, as well as communication with their Talent Coach
Interactive lab environment to practise and put learning to the test
Student Service support available 362 days a year
Work based projects and support from a line manager to be able to contextualise and apply their learning back in the workplace