Data Admin Apprentice - Buying department

NVD LTD
LEEDS (LS12 2QN)
Closes in 17 days (Friday 16 October 2026)
Posted on 28 September 2026

Summary

Ready to kick-start your career in data? Join our team as a Data Technician Apprentice and get hands-on experience working with real business data, systems and processes. You’ll work closely with our buying specialists, helping manage vehicle acquisitions, keep data accurate and make sure everything runs smoothly behind the scenes.

Wage
£15,600 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
Minimum wage rates (opens in new tab)

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

• Assist the buying team with acquiring stock, talking to sellers, and handling inbound leads.
• Log vehicle data and keep our central CRM updated with accurate stock details.
• Draft, verify, and maintain vehicle purchasing contracts and handover documentation.
• Run stock and acquisition reports for management review.
• Audit files regularly to ensure all administrative records remain compliant and up to date.
• Liaise with customers to coordinate vehicle handovers and paperwork completion.

Where you'll work

UNIT 5
162 ARMLEY ROAD
LEEDS LS12 2QN

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

• 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.