Data Administrator Apprenticeship - London

Quattro UK

305 Horn LaneLondon (W3 6TG)

Closes on Tuesday 9 June 2026

Posted on 5 May 2026

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Summary

Quattro UK are looking for a new Data Administration Apprentice. You will be studying toward your Data Technician apprenticeship Level 3.

Wage

£19,968 to £31,724.16, depending on your age

National Minimum Wage

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Training course
Data technician (level 3)
Hours
Monday - Friday, 7am - 5pm

48 hours a week

Start date

Tuesday 16 June 2026

Duration

1 year 2 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

We are looking for a reliable and detail-focused Accounts Administrator/Data Apprentice to join our busy office team in Acton.

This is a varied role within a fast-paced transport environment, supporting both the accounts department and day-to-day operations.

The successful candidate will be responsible for entering jobs onto the system, checking order numbers, pricing and job details, taking bookings over the phone, assisting with scheduling, and ensuring all information is correct before invoicing. The role also includes producing reports, maintaining spreadsheets, supporting data entry, and helping the wider office team with administration. 

This is an excellent opportunity for someone looking to start or develop a long-term career in accounts, administration, operations, or business support while gaining a recognised qualification.

Day-Day Responsibilities:

  • Accurately input job details, order numbers, pricing, and customer information onto the system
  • Take bookings and customer enquiries over the phone in a professional manner
  • Support the accounts team by checking pricing and ensuring information is correct before invoicing
  • Produce and maintain spreadsheets, reports, and business performance data
  • Create management reports to help track sales, costs, and operational performance
  • Learn how to turn raw Excel data into clear dashboards and visual reports using tools such as Power BI
  • Analyse trends and patterns within business data to help support decision-making
  • Use databases, spreadsheets, and reporting software to improve the accuracy and efficiency of office processes
  • Assist with scheduling jobs and ensuring vehicles are booked appropriately
  • Carry out general data entry and administrative tasks to support the office
  • Help identify ways to improve reporting, productivity, and business performance through better use of data
  • Maintain organised records and ensure all paperwork and system information is accurate

Where you'll work

305 Horn LaneLondon
W3 6TG

Training

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

Training provider

BABINGTON BUSINESS COLLEGE 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

Founded in 1974, we've been delivering market-leading learning and talent solutions for over forty years. We’re privileged to help individuals unlock their potential and realise the value of their skills and talents. As one of the UK's largest and longest-established apprenticeship and training providers, we're proud to help organisations and individuals unlock their potential, and make skills really work for them. Upon completion of this 14-month apprenticeship, you will have obtained your Data Technician Level 3 Apprenticeship.

Requirements

Desirable qualifications

Other in:

  • English Language GCSE / Equivalent (grade )
  • Maths GCSE / Equivalent (grade )

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

Skills

  • Administrative Skills
  • Analytical Skills
  • Attention to Detail
  • IT Skills
  • Organisational Skills,

Other requirements

The closing date guidance, if a successful candidate is found before the advertised dates, the advert will close early.

About this employer

Quattro (UK) Ltd is a progressive organisation, providing a truly sustainable service to London and the Home Counties. With an enviable client list in the construction industry, including groundworkers, local authorities, demolition contractors, refurb and utility companies, it is our guarantee that you can rely on Quattro for quality, safe performance.

After this apprenticeship

There is a possibility of being offered a full-time role after successful completion of the apprenticeship.

Ask a question

The contact for this apprenticeship is:

BABINGTON BUSINESS COLLEGE LIMITED

The reference code for this apprenticeship is VAC2000029812.

Apply now

Closes on Tuesday 9 June 2026

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