Junior Office Apprentice

ADAPT (UK) TRAINING SERVICES LIMITED

KNOWSLEY INDUSTRIAL PARK (L33 7UY)

Closes in 30 days (Thursday 23 July 2026)

Posted on 23 June 2026

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Summary

We are seeking a dedicated and organised junior administrator to join our team. The successful candidate will play a vital role in ensuring the smooth operation of daily administrative functions and maintaining high standards of quality assurance. 

Wage

£16,640 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday, 9am to 5pm.

40 hours a week

Start date

Friday 24 July 2026

Duration

1 year 4 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

  • Manage and maintain accurate records, files, and documentation
  • Prepare reports, correspondence, and presentations as required
  • Assist in the implementation and monitoring of quality assurance procedures to uphold organisational standards
  • Respond to internal and external enquiries promptly and professionally
  • Support the organisation of company events and training sessions
  • Liaise with suppliers, clients, and other stakeholders to facilitate effective communication
  • Ensure compliance with company policies and procedures at all times

Where you'll work

UNIT 80
NORTH MERSEY BUSINESS CENTRE
WOODWARD ROAD
KNOWSLEY INDUSTRIAL PARK
L33 7UY

Training

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

Training provider

NOWSKILLS 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

Off-the-job training (OTJ): As part of their apprenticeship, apprentices are entitled to a minimum of 6 hours per week of paid OTJ training. During their OTJ time allocated by their employer, apprentices will complete coursework, attend training, and study.

Within 4-6 weeks of your beginning work at the organisation, your Tutor will make contact by email with you and your Mentor to arrange a mutually convenient Induction date. Subsequent 1:1 Training and review sessions will take place monthly either at your premises or as a live virtual meeting.

You will also attend 6 live virtual training sessions via zoom. Dates will be confirmed during Induction. These training sessions are live, online and take place Monday – Thursday from 9.30am – 4.30 pm. 

Requirements

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

Skills

  • Communication skills
  • Attention to detail
  • Organisational skills

Other requirements

  • Good communication skills, both written and verbal
  • Knowledge of using MACs - Apple branded software
  • Knowledge of quality assurance principles is desirable
  • Discretion and confidentiality when handling sensitive information
  • Ability to prioritise tasks effectively in a fast-paced environment

About this employer

Offering quality, accredited training services from our centres in Liverpool, Knowsley, and Warrington, as well as on sites across the North West and throughout the UK.

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

Office Assistant.

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

The reference code for this apprenticeship is VAC2000038704.

Apply now

Closes in 30 days (Thursday 23 July 2026)

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