Data Analyst Apprenticeship

Summary

We are seeking a motivated and tech-savvy apprentice to join our team and assist with GDPR compliance projects. This role will provide an excellent opportunity to learn about data protection, privacy laws, and how to apply them in a real-world business environment.

Wage

£22,000 a year

Check minimum wage rates (opens in new tab)

Training course

Data analyst (level 4)

Hours

Monday - Friday. Shifts TBC.

40 hours a week

Start date

Friday 1 August 2025

Duration

1 year 6 months

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

Assist in the implementation and monitoring of GDPR compliance measures across the organisation.
Support the team in conducting Data Protection Impact Assessments (DPIAs) and maintaining records of processing activities.
Help with the development and delivery of GDPR training materials and workshops.
Monitor and report on compliance with internal data protection policies and procedures.
Collaborate with IT teams to ensure data security measures are followed.
Assist with data subject requests and maintain GDPR documentation.

Where you'll work

Global Banking School, Horsenden House, 891 Greenford Road
Greenford
UB6 0HE

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

METAGEDU APPRENTICESHIPS LTD

Your training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome
Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

The successful candidate will complete a Data Analyst Level 4 Apprenticeship standard: -

Functional Skills Level 2 in Maths – if applicable

Functional Skills Level 2 in English – if applicable

Requirements

Essential qualifications

GCSE or equivalent in:

Maths (grade 4-9)
English (grade 4-9)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

IT skills
Attention to detail
Number skills
Analytical skills

Other requirements

Starting salary of £22,000.

About this company

Global Banking School (GBS) is a dynamic and fast growing Higher Education provider with campuses across the UK. We are a vibrant and diverse family of committed staff bringing life-changing learning to a wider range of communities. Applying evidence-based research and corporate case studies to classroom learning, we provide higher education that has real impact and real world relevance.

After this apprenticeship

Excellent progression is available within the company. The successful applicant will undertake more responsibilities as the apprenticeship develops with a strong view to securing permanent employment on completion.

Ask a question

The contact for this apprenticeship is: