Commercial Team Admin Apprentice (BCA Outsourced Solutions)

BRITISH CAR AUCTIONS LIMITED

Bilston (WV14 0RZ)

Closes in 17 days (Tuesday 30 June 2026)

Posted on 12 June 2026


Summary

Assist and support the 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 the database correctly, and ensure all data is available for any future audits or requests.

Training course
Data technician (level 3)
Hours
Monday - Friday, 08:30 - 17:30.

40 hours a week

Start date

Monday 13 July 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 in to sale as soon as possible.
  • 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.
  • Liaise with the Commercial Manager and Commercial Executives to define and deliver commercial KPI’s.

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

We support all our apprentices not only with work related training, but also with their qualifications. We buddy up new apprentices with more experienced / qualified colleagues and as they grow they can work with more senior people. Support will be given to develop your data analysis skills and your commercial knowledge.

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

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
  • Excel skills
  • Able to apply solutions
  • Ability to learn quickly
  • Active listener
  • Can do attitude
  • Team player

Other requirements

  • Ability to learn quickly and apply themselves.
  • Strong ability to work with colleagues at all levels.

About this employer

At BCA, we’re altogether, more. More than just a normal vehicle remarketing company. More than just any other place to work. We’re Europe's largest vehicle remarketing company, the backbone of the UK’s automotive supply chain, the best place to build the career you want.

BCA provides 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

There is potential to become a data analyst in the future, progressing to Commercial Executive.

Ask a question

The contact for this apprenticeship is:

BPP PROFESSIONAL EDUCATION LIMITED

The reference code for this apprenticeship is VAC2000036900.

Apply now

Closes in 17 days (Tuesday 30 June 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.