Apprenticeships and Accredited Learning Administrator - Apprentice Position

Join our Learning & Organisational Development team and gain valuable workplace experience while completing a Level 3 Data Technician Apprenticeship. You’ll develop skills in data management, reporting and learning administration, helping us understand performance and improve learning opportunities across Change Grow Live.

Wage

£15,600 for your first year, then could increase depending on your age National Minimum Wage rate for apprentices Minimum wage rates (opens in new tab)

This is a fixed-term apprenticeship opportunity. For the right person, there may be an opportunity to progress into a permanent role with Change Grow Live following successful completion of the apprenticeship, with salary reviewed accordingly.

Training course

Data technician (level 3)

Hours

Monday to Friday 9am to 5pm. 37 hours 30 minutes a week

Start date

Monday 12 October 2026

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

In this role you'll be working as part of our Learning & Organisational Development team, supporting the delivery, administration and continuous improvement of learning programmes across Change Grow Live.

You'll support:

• Apprenticeship programmes, which are delivered through external training providers, by helping coordinate learner journeys, provider relationships, records and reporting.
• Accredited and regulated learning programmes, which are delivered internally to staff and volunteers, by supporting administration, learner engagement and quality processes.

You'll:

• Maintain accurate learner records across relevant systems and databases.
• Support the development of reports and dashboards to help the team understand learner participation, progress, completion and outcomes.
• Collect, analyse and present learning data to identify trends and support decision-making.
• Support data quality checks and help ensure information is accurate, timely and meaningful.
• Provide administrative support for learner onboarding, registration, certification and completion processes.
• Coordinate communications between learners, managers, training providers and awarding bodies.
• Support audits, quality reviews and compliance activities.
• Help gather learner feedback and evaluation information to understand the impact of learning.
• Contribute ideas for improving processes, systems and reporting approaches.
• Work collaboratively with colleagues across Learning & Organisational Development and wider teams.

As part of the role, you'll complete a Level 3 Data Technician Apprenticeship, developing skills in collecting, analysing and presenting data, while applying your learning directly to real organisational challenges.

Where you'll work

This role offers the flexibility to work predominantly from home, while providing opportunities to connect with colleagues through occasional office-based working days, team activities and learning events. We value the importance of staying connected as a national team and, where travel to a CGL office outside of your base location is required, we will support with reasonable travel expenses.

Training

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

Training provider CAMBRIDGE SPARK 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.