Commercial Team Administrator Apprentice (British Car Auctions Limited)
BRITISH CAR AUCTIONS LIMITED
Bilston (WV14 0RZ)
Closes in 28 days (Monday 5 January 2026)
Posted on 8 December 2025
Contents
Summary
Assist and support Commercial Manager in day-to-day production of sales files, record any anomalies in daily pricing refer any queries to branches for further investigation record their responses in data base correctly and ensure all data is available for any future audits or requests.
- Wage
-
£15,747 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday, between 8:30am and 5:30pm, with 1 hour lunch.
40 hours a week
- Start date
-
Monday 26 January 2026
- Duration
-
1 year 6 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
- Work closely with BCA branches looking after and protecting interest of BCAOS.
- Accurately producing daily sales and rostrum reports.
- Work with Commercial Team Executives and learn new and improved pricing techniques of pricing vehicles.
- Update BCA systems with daily pricing.
- Update BCAOS data with daily responses from branches.
- Report any vehicles outside of tolerance to Commercial team executives for further investigation.
- Chase all missing documents related to vehicles.
- Assist in Setup of new accounts.
- Ensure all over age vehicles are investigated and Remarketing Managers are provided with swift response so these vehicles can be entered into sale as soon as possible.
Where you'll work
Bessemer Close
Bilston
WV14 0RZ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BPP PROFESSIONAL EDUCATION 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
BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.
Requirements
Essential qualifications
GCSE in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Problem solving skills
- Team working
- Can-do attitude
- Basic knowledge of Excel
- Ability to learn quickly
- Active listener
Other requirements
• Must be able to correctly comply with standard operating procedures but also to regularly and objectively review and implement improvements.
• Ensure all customer SLA’s are adhered to and report any delays to senior management for support.
• Collate and store all branch responses in orderly manner and keep data base up to date.
About this employer
BCA (British Car Auctions) is Europe’s largest vehicle remarketing company, providing a comprehensive marketplace for buying and selling used vehicles. Operating across multiple countries, BCA connects manufacturers, fleet operators, leasing companies, and dealers through physical and digital auctions. The business offers end-to-end solutions including vehicle logistics, inspection, appraisal, and data-driven pricing insights, helping partners manage stock efficiently and maximize value in the fast-moving automotive market.
After this apprenticeship
The opportunity may offer a permanent role upon completion of the apprenticeship depending on performance and availability.
Ask a question
The contact for this apprenticeship is:
BPP PROFESSIONAL EDUCATION LIMITED
The reference code for this apprenticeship is VAC2000004236.
Apply now
Closes in 28 days (Monday 5 January 2026)
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