Data Technician Apprentice

CHAPEL HOUSE MOTOR CO LTD

St. Helens (WA10 3JG)

Closes in 16 days (Monday 11 August 2025)

Posted on 11 July 2025

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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

Check minimum wage rates (opens in new tab)

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.

Training provider

NOWSKILLS LIMITED

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.

Training schedule

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

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
  • 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 employer

Wholesale, the retailing servicing and repairing new and used motor vehicles

https://www.chapelhouse.co.uk/ (opens in new tab)

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 16 days (Monday 11 August 2025)

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