apprenticeship standard level 4

Data Analyst

Apprenticeship Description

If you are responsible for managing, cleansing, abstracting, aggregating, analysing and making recommendations to stakeholders about data, then this course will be of interest to you. You will learn how to analyse and present data in a format that is supported by sound recommendations to the business. This course will support you in developing the skill set to deliver measurable value to your organisation as well as supporting your next professional steps.

On successful completion of this apprenticeship, you will:

  • Develop your technical skills to best practice approaches.
  • Enhance your confidence and credibility.
  • Gain transferable skills for use throughout your career.
  • Achieve a nationally recognised Level 4 Data Analyst Apprenticeship Standard.
  • Achieve an internationally recognised Data Science Associate professional qualification.


Typically, GCSE Maths & English at Grade C or above. This can vary for each course so please get in touch with us for more information.​

maths & english

Learners without level 2 English and Maths qualifications will need to achieve this level prior to taking the end-point assessment.​


18 months

During this course you will be required to spend 20% of your time at work on off-the-job learning. This will include workshops, virtual learning, research and reflection. This innovative course is designed so you can easily fit your learning around your day job. Using our online portal, you will be able to access your learning anytime and anywhere, so you get high-quality content and development on the go.

Key learning areas on this apprenticeship

Through focusing on your professional and personal potential, you will learn how to manage yourself more effectively by making positive and powerful changes to your current ways of thinking, being and doing.

Understanding the fundamental concepts of information systems and information management will underpin the practical skills you develop. This module develops your understanding of these concepts and theories, which you will also relate to your own organisation.

During this module you will develop strong data analysis skills and an understanding of statistical analysis and forecasting. There is a focus on practical and transferable IT skills that you will be able to apply in your job role. Starting with basic data analysis techniques, this module progresses quickly to develop more advanced data analysis skills.

Building on from theories covered in earlier modules, this module focusses on summarising and presenting data to a range of stakeholders. You will learn how to work with databases and discover data visualisation tools that allow data to be presented in an appropriate format for the target audience.

To meet the growing needs of organisations to work with big data, you will develop both your understanding of big data and working with R Studio (usually referred to simply as ‘R’). These skills will allow you to work with large datasets and a variety of data formats, improving the data analysis capabilities of your organisation.

Request a callback.

If you’re not sure if this course is for you, or would prefer to speak to somebody, leave your name and telephone number and one of our coaches will get back to you as soon as possible.

How will you be assessed?

Towards the end of the course, you, your manager and WDR will decide together if you are ready for assessment. The assessment is then undertaken by a separate End Point Assessor organisation, chosen by your employer. The tutors at WDR will provide you with lots of support in preparing for the assessment. The assessment consists of two separate elements:

Portfolio - produced towards the end of the apprenticeship, containing evidence from real work projects completed during the apprenticeship which taken together, cover the totality of the standard.

A structured interview with an assessor - exploring what has been produced in the portfolio and the project as well as looking at how it has been produced.

An employer reference.

Project - a business-related project over a one-week period away from the day-to-day workplace.

An Inclusive Learning Environment

We understand that not everyone learns in the same way, and that’s exactly why we offer complete support to each and every one of our learners and coaches. We’re an inclusive company and the support options we offer aim to fulfill the potential of any individual, regardless of their background.