Data Technician Apprentice - Greenford

GLOBAL BANKING SCHOOL LTD

Greenford (UB6 0HE)

Closes in 31 days (Thursday 30 April 2026)

Posted on 30 March 2026

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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

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

40 hours a week

Start date

Monday 4 May 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

  • The ability to process detailed information effectively and consistently
  • Interpersonal skills and an ability to build rapport with a wide variety of people
  • IT and database literacy with the ability to quickly pick up new systems
  • Technical systems knowledge would be good- not essential
  • Highly organised with great attention to detail High-quality written and verbal communication
  • Ability to work across the business with a variety of stakeholders at various levels of seniority

Where you'll work

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.

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

Requirements

Essential qualifications

GCSE or equivalent in:

  • Maths (grade 4)
  • English (grade 4)

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 VAC2000024124.

Apply now

Closes in 31 days (Thursday 30 April 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.