CRM Database Executive Apprenticeship
Snows Motor Group
Hampshire (SO15 0BT)
Closes in 29 days (Friday 9 October 2026 at 11:59pm)
Posted on 10 September 2026
Contents
Summary
The CRM Database Executive is a member of the DMS team at head office, reporting to the Head of DMS. You will bring Snows’ customer data to life, helping us to understand how our customer base is growing, and identifying areas of risk or opportunity.
- Wage
-
£18,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday- Friday
Shifts to be confirmed
37 hours 30 minutes a week
- Start date
-
Monday 19 October 2026
- Duration
-
1 year 3 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
CRM & Database Analysis
- Analyse and report on all aspect surrounding the health of our database and its usability for marketing
- Bring our customer data to life, highlighting areas of risk and opportunity and support with optimising the Customer Journey
- Share relevant insights with Senior Management including Executive Board and Franchise Managers when required along with scheduled monthly, weekly and daily reports
Data
- Assist with the maintenance, development and integrity of the DMS database, ensuring the data is accurate, current and consistent
- Fulfil data extract requests from the marketing team in relation to marketing campaigns as required
- Create extracts for new call lists for the Contact Centre as required
- Check and maintain the automated customer journey process following a brief agreed between the Head of DMS and the Customer Communications Director
- Implement ways to complement and update any data from other valid data sources
- Serve as the primary point of contact for the database, identifying opportunities to improve marketing systems and data management
- Assist staff in using the database to support their business operations
Dealer Management Systems
- Assist with DMS Helpdesk requests as required
- Carry out project work as and when required
- Provide support to the staff around the group as and when needed
- Comply with all of Snows policies and procedures
Where you'll work
Snows House Second Avenue
Millbrook
Southampton
Hampshire
SO15 0BT
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
TECHNICAL PROFESSIONALS 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
- Expected duration: 12 months + 3 months - End Point Assessment
- Apprenticeship level: Level 3
- Programme: Data Technician
During this apprenticeship, you will follow a fully supported training programme with LearnTech, delivered through combined weekly remote classroom-based training, workplace assessment/training and online learning working towards completing the Data Technician qualification.
The training covers the following core occupational duties:
https://skillsengland.education.gov.uk/apprenticeship-standards/st0795
Requirements
Essential qualifications
GCSE in:
- English (grade 4/C)
- Maths (grade 4/C)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Customer care skills
- Number skills
- Analytical skills
- Logical
- Initiative
- Strong work ethic
About this employer
Snows Group is an AM Top 50 automotive retailer covering 16 brands at 56 sites. Based in the south and south-west of England the business differentiates itself from its competitors by delivering outstanding customer service for its customers and manufacturer partners. The customer experience is at the heart of our business, and we ensure that this level of service is applied to both our internal and external customers.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
- Upon completion, the apprentice will have gained a Level 3 Data Technician qualification
Ask a question
The contact for this apprenticeship is:
TECHNICAL PROFESSIONALS LIMITED
Brooke Hutton
b.hutton@learn-tech.com
The reference code for this apprenticeship is VAC2000052827.
Apply now
Closes in 29 days (Friday 9 October 2026 at 11:59pm)