Data Technician Apprentice - Birmingham Norfolk House

GLOBAL BANKING SCHOOL LTD

Birmingham (B5 4LJ)

Closes in 27 days (Friday 5 December 2025)

Posted on 7 November 2025

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Summary

As a Level 3 Data Technician Apprentice, you will work closely with the IT and Data teams to collect, manage, and analyse data that supports decision-making across the organisation. You will also contribute to maintaining and improving our IT systems, ensuring that data is accurate, secure, and accessible.

• 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 5 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

Main duties:

• Collect, format, and store data from a range of sources within IT systems
• Provide first-line support to users and escalate complex issues appropriately
• Work closely with senior system administrators to configure survey projects, manage user data, and troubleshoot platform issues
• Support the integration of Blue with other systems (e.g., student information systems, LMS platforms)
• Work closely with senior system administrators to configure survey projects, manage user data, and troubleshoot platform issues
• Ensure the accuracy, security, and integrity of data across the organisation
• Use data analysis tools and techniques to support reporting and decision-making
• Assist with troubleshooting and maintaining databases and IT systems
• Support colleagues in understanding and using data effectively
• Document processes and create simple dashboards, reports, and visualisations
• Work collaboratively with the IT team to ensure compliance with data protection and cybersecurity requirements
• Continuously develop your knowledge of data management, IT systems, and industry best practices

Where you'll work

Norfolk House, Smallbrook Queensway
Birmingham
B5 4LJ

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 4-9)
• 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 VAC1000350379.

Apply now

Closes in 27 days (Friday 5 December 2025)

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