Data Technician Apprentice
CHAPEL HOUSE MOTOR CO LTD
St. Helens (WA10 3JG)
Closes in 28 days (Monday 11 August 2025)
Posted on 11 July 2025
Contents
Summary
Kickstart your career in data with our Data Technician Apprenticeship! In this exciting role, you’ll help collect, manage, and analyse key business data to support informed decision-making. Working alongside experienced data and IT professionals, you'll assist with day-to-day data tasks and maintain data systems.
- Wage
-
£14,918.80 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, 9.00am to 5.00pm.
37 hours 30 minutes a week
- Start date
-
Thursday 11 September 2025
- 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
- Processing of used and new orders
- Preparing files for handovers
- Invoicing of deals to match finance documents
- Ensuring DVLA records are updated
- Setting up customer warranties
- Auditing of digital files
- Scanning of internal documents
- Answering phone and email enquiries
- Workshop Requests
- Data entry
- Basic analysis for departments
- Daily use of spreadsheets and pivot tables on Excel
- CRM/Data management
- Any other duties on site as requested
Where you'll work
Canal Street
St. Helens
WA10 3JG
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
College or training organisation
NOWSKILLS LIMITED
Your training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Source and migrate data from already identified different sources.
- Collect, format and save datasets.
- Summarise and explain gathered data.
- Blend data sets from multiple sources and present in format appropriate to the task.
- Manipulate and link different data sets as required.
- Use tools and techniques to identify trends and patterns in data.
- Apply basic statistical methods and algorithms to identify trends and patterns in data.
- Apply cross checking techniques for identifying faults and data results for data project requirements.
- Audit data results.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent technical documentation using standard organisational templates.
- Store, manage and distribute in compliance with data security standards and legislation.
- Explain data and results to different audiences in a way that aids understanding.
- Review own development needs.
- Keep up to date with developments in technologies, trends and innovation using a range of sources.
- Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
- Operate as part of a multi-functional team.
- Prioritise within the context of a project.
- Source and migrate data from already identified different sources.
- Collect, format and save datasets.
- Summarise and explain gathered data.
- Blend data sets from multiple sources and present in format appropriate to the task.
- Manipulate and link different data sets as required.
- Use tools and techniques to identify trends and patterns in data.
- Apply basic statistical methods and algorithms to identify trends and patterns in data.
- Apply cross checking techniques for identifying faults and data results for data project requirements.
- Audit data results.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent technical documentation using standard organisational templates.
- Store, manage and distribute in compliance with data security standards and legislation.
- Explain data and results to different audiences in a way that aids understanding.
- Review own development needs.
- Keep up to date with developments in technologies, trends and innovation using a range of sources.
- Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
- Operate as part of a multi-functional team.
- Prioritise within the context of a project.
Your training plan
More training information
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Requirements
Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Organisation skills
- Number skills
- Analytical skills
- Team working
- Initiative
Other requirements
Confident communication skills on the phone and in person. Basic Microsoft experience in Word, Excel, and PowerPoint.
About this company
Wholesale, the retailing servicing and repairing new and used motor vehicles
After this apprenticeship
This role could grow into a full-time position after your apprenticeship ends.
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC1000331164.
Apply now
Closes in 28 days (Monday 11 August 2025)
When you apply, you’ll be asked to sign in with a GOV.UK One Login. You can create one at the same time as applying for this apprenticeship.
After signing in, you’ll apply for this apprenticeship on the company's website.