Data Technician Apprentice - MCR

GLOBAL BANKING SCHOOL LTD

Manchester (M12 6JH)

Closes in 17 days (Friday 2 January 2026)

Posted on 16 December 2025

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Summary

You will develop your skills in gathering existing and/or new data across GBS. Performing basic level analysis using appropriate analytical techniques, you will contribute to the presentation of findings and insights within daily operational reporting as well as working as part of a team to deliver external and statutory data.

Wage

£20,000 a year

Check minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 6.00pm.

40 hours a week

Start date

Monday 12 January 2026

Duration

1 year 3 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

  • Support the Data and Information Team to work with internal stakeholders to gather business requirements for internal and external reporting needs
  • Source data for internal and external reporting requirements from trusted sources in a secure manner
  • Validate and cleanse data using appropriate techniques to ensure data quality
  • Store, manage and share data securely in a compliant manner (i.e. taking account of GDPR)
  • Present data visualisation using charts, graphs, tables and other more sophisticated visualisation tools such as PowerBi
  • Perform routine descriptive and statistical analysis and respond to ad-hoc queries
  • Summarise and present results to range of stakeholders suggesting recommendations where appropriate
  • Use data to gain understanding of GBS and develop practice in using data for decision making
  • Assist in audits for data quality, data integrity and data governance
  • Practice continuous self-learning and enhance relevant skills and take responsibility for own professional development

Where you'll work

Global Banking School, 4 Universal Square, Devonshire Street North
Manchester
M12 6JH

Training

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

Training provider

METAGEDU APPRENTICESHIPS LTD

Training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Select and migrate data from already identified sources.
  • Format and save datasets.
  • Summarise, analyse and explain gathered data.
  • Combine data sets from multiple sources and present in format appropriate to the task.
  • Use tools and/or apply basic statistical methods to identify trends and patterns in data.
  • Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
  • Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
  • Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
  • Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
  • Parse data against standard formats, and test and assess confidence in the data and its integrity.
  • Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
  • Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
  • Follows equity, diversity and inclusion policies in the organisation for a common goal.
  • Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
  • Select and migrate data from already identified sources.
  • Format and save datasets.
  • Summarise, analyse and explain gathered data.
  • Combine data sets from multiple sources and present in format appropriate to the task.
  • Use tools and/or apply basic statistical methods to identify trends and patterns in data.
  • Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
  • Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
  • Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
  • Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
  • Parse data against standard formats, and test and assess confidence in the data and its integrity.
  • Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
  • Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
  • Follows equity, diversity and inclusion policies in the organisation for a common goal.
  • Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.

Training schedule

The successful candidate will complete a level 3 Data Techncian Apprenticeship:

Level 3 Data Technician Apprenticeship
 

Requirements

Essential qualifications

GCSE or equivalent in:

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

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Customer care skills
  • Team working

Other requirements

Starting salary is £20,000.

About this employer

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 available within the company. This may lead to a permanent position with employer and future progression.

Ask a question

The contact for this apprenticeship is:

METAGEDU APPRENTICESHIPS LTD

The reference code for this apprenticeship is VAC2000005343.

Apply now

Closes in 17 days (Friday 2 January 2026)

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