Level 4 Data Analyst Apprenticeship

Build a workforce of nature

A Data Analyst apprenticeship will provide your team with high-demand skills that can be applied across various sectors. Data Analyst apprentices collect, process, and analyse data to help businesses make informed decisions, backed by proper evidence.

What is a level 4 Data Analyst?

This role spans multiple domains, transforming organisational strategies through data-driven insights. The Level 4 Data Analyst Apprenticeship opens opportunities in industries at the forefront of big data, AI, machine learning, cloud computing, and data visualisation.

Apprentices will learn to work effectively in teams, understand business environments, and interpret data. With access to leading platforms and real-life experience, they will be prepared for roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, Data Engineer, and Research Analyst.

What skills will they learn?

Your apprentices will study a range of topics on this programme. All our programmes are built in collaboration with top businesses and industry experts, so your learners will get the latest skills and knowledge to put them at the forefront of their industry.

Each learner on this programme will learn:

Core data skills including how to collect, handle, clean and process different types of data to support business decision-making.
Data infrastructure and databases

In addition, apprentice can access additional learning and support through our vendor partnerships. These include Microsoft, CompTIA, the Linux Professional Institute (LPI) and the Cisco Networking Academy.

How long will it take?

The apprenticeship will run for a total of 18 – 24 months. Within this time, apprentices will complete 7 modules and can complete additional recognised qualifications.

What will the apprenticeship cover?

Module 1: Induction and tech bootcamp. This module builds the foundations of data analysis, covering data types, ethics, legislation, and the principles of the analysis lifecycle. Learners will develop secure practices, problem-solving approaches, and an understanding of structured and unstructured data.
Module 2: Programming data. This module equips learners to classify, combine, and process data programmatically. It emphasises secure handling, problem-solving, and selecting appropriate tools to deliver accurate, ethical outputs.
Module 3: Visualising data. Focusing on communication, this module develops skills in turning data into clear insights using dashboards, reports, and infographics. Learners will apply statistical methods, consider user experience, and present findings effectively to different audiences.
Module 4: Data infrastructure. This module explores database design, data architecture, and the challenges of combining and maintaining datasets. Learners will analyse data structures, manage quality risks, and apply organisational standards to ensure reliable data management.
Module 5: Data and the cloud. Learners will examine how cloud technologies support scalable and secure data management. The module covers identifying risks, applying architecture requirements, and using tools effectively within dynamic cloud environments.
Module 6: Machine learning. This module introduces predictive analytics and machine learning techniques such as modelling and forecasting. Learners will apply these methods to uncover patterns, generate insights, and support data-driven decision-making.
Module 7: Role specific development and Apprentice Assessment preparation. In the last module of the programme, apprentices will fine-tune their key functional skills and behaviours in line with the role. In addition, they will work on their EPA project and prepare for the EPA interview.

What job role will qualify?

Any of the following job roles will qualify for this apprenticeship:

Data analyst
Business Intelligence Analyst
Data Scientist
Data Engineer
Data Modeller

If you are unsure if your job role or your employees job role would qualify for this programme, please contact our apprenticeship team for further information.

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Farida's Story

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Farida from The Hut Group explains why she chose to do an apprenticeship and her journey so far at UA92.

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Level 4 Data Analyst

A Data Analyst apprenticeship will future-proof your teams by giving them a broad spectrum of skills that are in high-demand across a number of sectors.

Build a workforce of nature

What is a level 4 Data Analyst?

What skills will they learn?

How long will it take?

What will the apprenticeship cover?

What job role will qualify?

WANT TO KNOW MORE?

REGISTER INTEREST

START YOUR JOURNEY AT UA92

PERSONAL Information

Contact DETAILS

Nationality & Residence Details

Course Details

Qualifications Held

Personal Statement

Reference (Please note, it is your responsibility to contact your referee and ensure your reference reaches UA92)

Have you been referred by a current UA92 Student?

Declaration

Self-declaration form

YOU CAN EITHER FILL IN THE FORM OR GET IN TOUCH WITH US DIRECTLY BELOW.

Farida's Story

Life as a UA92 apprentice

WANT TO KNOW MORE?

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