Data Technician Apprentice

AQA EDUCATION

Guildford, MANCHESTER

Closes on Monday 5 January 2026

Posted on 16 October 2025

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Summary

Over this two-year programme, you’ll work with our Data Analytics, Insight & Reporting team, gaining hands-on experience in data analysis, visualisation, and reporting. We’ll support you through a Level 3 Data Technician apprenticeship, helping you build a strong foundation for a career in data.

Wage

£23,500 a year

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Training course
Data technician (level 3)
Hours
Monday to Friday

37 hours 30 minutes a week

Start date

Monday 7 September 2026

Duration

2 years

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

  • As a Data Technician Apprentice, you’ll rotate across teams including Data Analytics, Standards & Innovation, and Research & Evaluation, gaining hands-on experience and developing core data skills across a range of projects.
  • Data Analytics - Develop and deliver analyses using tools like Excel and Power BI, clean and prepare datasets, and respond to ad hoc requests by producing clear, user-friendly insights.
  • Standards & Innovation - Support regulatory data returns and contribute to quality control practices, ensuring data processes meet compliance standards and drive continuous improvement.
  • Research & Evaluation - Work alongside Data Scientists and Psychometricians to understand statistical methods and help build predictive models. Support research projects using both quantitative and qualitative data to generate meaningful findings. 

Where you'll work

You can select which locations you want to apply for in your application on Find an apprenticeship.

This apprenticeship is available in these locations:

  • Stag Hill House, Guildford, GU2 7XJ
  • DEVAS STREET, MANCHESTER, M15 6EX

Training

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

Training provider

INSTEP UK LIMITED

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

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Essential qualifications

GCSE in:

  • English (grade 4+ (A-C))
  • Math (grade 4+ (A-C))

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
  • Problem solving skills
  • Number skills
  • Analytical skills
  • Patience

About this employer

AQA is an independent charity that sets and marks over half of all GCSEs and A-levels in the UK every year. AQA's qualifications are internationally recognised and taught in more than 40 countries around the world.

After this apprenticeship

  • Progress to a full time career

Ask a question

The contact for this apprenticeship is:

INSTEP UK LIMITED

The reference code for this apprenticeship is VAC1000346920.

Apply now

Closes on Monday 5 January 2026

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