Sales Data Administrator Apprentice
SUPPORT WAREHOUSE LIMITED
Leeds (LS1 5AA)
Closes in 30 days (Monday 31 August 2026)
Posted on 31 July 2026
Contents
Summary
The purpose of the Sales Data Administrator is to support the sales teams by ensuring that all operational aspects of the sales process run smoothly and efficiently.
This role acts as the backbone of the sales organisation by transacting sales throughout all elements of the quote to cash process.
- Wage
-
£15,392 to £24,454.04, depending on your age
National Minimum Wage
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday, 9.00am to 5.00pm.
37 hours a week
- Start date
-
Wednesday 2 September 2026
- Duration
-
1 year 5 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
- Prepare and process quotes, proposals, and sales orders. Apply accurate and up-to-date customer and sales records in SharePoint, BC and other internal systems.
- Complete the transactions within the end-to-end quote-to-cash process to a high degree of accuracy, including quote creation, order processing, and issue resolution.
- Process and book customer orders accurately within the finance system.
- Register services and manage supplier interactions via supplier portals, ensuring timely order confirmations.
- Collaborate cross-functionally with Sales, Finance, and
- Operations to expedite quote requests and customer orders.
- Track quote requests, monitor progress, and ensure consistent follow-ups with clients and internal stakeholders.
- Maintain accurate customer records, sales data, and documentation within the CRM system.
- Respond to partner and internal inquiries and provide relevant product or service information.
- Manage internal escalations and work towards prompt resolution.
- Ensure clear and timely communication of updates between teams and stakeholders.
Where you'll work
The Pinnacle Floor 19 67 Albion Street
Leeds
LS1 5AA
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA 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
QA's Data Essentials Level 3 apprentice will learn to:
- Source, format and present data securely, using Microsoft Excel, Power BI and SQL.
- Analyse structured and unstructured data to support business outcomes
- Blend data from multiple sources as directed
- Communicate outcomes appropriate to the audience
- Apply legal and ethical principles when manipulating data
More training information
QA’s Data Essentials Level 3 apprenticeship can support your business to be more productive with data and adapt to a modern-day workplace. Data available to organisations is increasing at scale. How your business leverages it is essential to successful transformation and continued growth.
QA’s Data Essential Level 3 apprenticeship programme enables your organisation to:
- Build the capabilities you need throughout your organisation to collect, study, organise and present data, increasing digital adoption and the provision of intelligent and valuable business insights
- Create and develop analysts for the modern workplace by reskilling your existing talent, or hiring new entry-level talent. QA’s programmes, partnerships and recruitment capability enable us to tailor a solution that works for your business
- Provide training that acts as a standalone solution or as part of a wider academy/programme to an array of business functions
- Tools and technologies learned: Apprentices will learn to use Microsoft Excel and Power BI
Requirements
Essential qualifications
GCSE in:
- Any subject (grade 4+ (A-C))
- Any subject (grade 4+ (A-C))
- English (grade 3+ (D or above))
- Maths (grade 3+ (D or above))
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Organisation skills
- Problem solving skills
- Number skills
- Team working
- Proficiency in Microsoft tools
About this employer
Support Warehouse brings nearly two decades of global experience to manage and procure IT asset maintenance services.
As authorised Original Equipment Manufacturer service experts since 2005, we focus on efficient warranty management and renewal of IT hardware service contracts. We aim to equip organisations with tailor-made service agreements for optimal coverage of your IT hardware and software infrastructure, ensuring reliability and peace of mind.
Company benefits
- Hybrid working available after probation period
- 25 days annual leave
- Contributory pension scheme
- Retail discount scheme
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
90% of QA apprentices secure permanent employment after completing this programme; this is 20% higher than the national average.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC2000045728.
Apply now
Closes in 30 days (Monday 31 August 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.