Recruitment / Data specialist Apprentice
MCCARTHY RECRUITMENT LIMITED
WARRINGTON (WA2 0YL)
Closes in 24 days (Monday 13 April 2026)
Posted on 19 March 2026
Contents
Summary
We are seeking a proactive and organised Apprentice Office Administrator to support daily office operations. This role is ideal for someone starting their career who is confident using computers, enjoys organising information, and wants to develop key administrative and data-handling skills.
- Wage
-
£15,600 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday, working hours TBC
37 hours 30 minutes a week
- Start date
-
Wednesday 13 May 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
- Filing paperwork and organising digital documents within shared drives and databases
- Ensuring documents are accurately named, stored, and easy to locate
- Preparing letters, documents, and reports, including updating templates with correct information
- Printing, scanning, and photocopying while ensuring digital copies are saved correctly
- Helping maintain structured filing systems that support quick data retrieval
- Checking that records, logs, and internal information are up to date
Where you'll work
UNIT 12A
OLYMPIC WAY
BIRCHWOOD
WARRINGTON
WA2 0YL
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
Data Technician Level 3.
More training information
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
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
- Organisation skills
- Administrative skills
- Team working
- Initiative
Other requirements
- Strong attention to detail, especially when working with documents and data
- Good digital skills and willingness to learn basic data-entry processes
- Organised, proactive, and able to follow procedures
- Positive attitude and readiness to support the wider team
- Good communication and interpersonal skills
About this employer
Established in 2005, we are specialists in leadership and professional recruitment services; working across sectors we are experts in assessing capability and cultural fit to ensure we deliver recruitment services that deliver for our clients.
After this apprenticeship
The successful candidate may be chosen to have a full-time role after completing their apprenticeship.
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000021181.
Apply now
Closes in 24 days (Monday 13 April 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.