Data Support Apprentice
UYR LTD
Pontefract (WF9 3AP)
Closes in 26 days (Wednesday 18 February 2026)
Posted on 21 January 2026
Contents
Summary
You will support automated production processes, help manage campaign and artwork assets, and assist with maintaining the digital systems that underpin our online platforms and production workflows.
- Wage
-
£14,722.50 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data technician (level 3)
- Hours
-
Days and shifts to be confirmed.
37 hours 30 minutes a week
- Start date
-
Wednesday 25 February 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
- Provide administrative and data support to the Production Development team
- Assist with tasks connected to automated production workflows including setup, monitoring and data entry
- Manage and maintain online assets such as artwork, campaign files, metadata and production materials
- Update rate cards, reports and internal documentation, ensuring accuracy and version control
- Organise and prepare campaign and artwork assets for automated services and customer platforms
- Ensure a high standard of data quality and consistency across systems and storage areas
- Work collaboratively with Development colleagues to streamline administrative tasks and improve team efficiency
Where you'll work
15 Langthwaite Road
South Kirkby
Pontefract
WF9 3AP
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
Why choose our Data Essentials apprenticeship?
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 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
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:
- 3 of any subject (grade 4+ (A* - C))
- Maths & English (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
- Attention to detail
- Organisation skills
About this employer
UYR Ltd is a leading provider of marketing production services, delivering high quality print, digital assets and automated solutions for a wide range of clients. We combine innovative technology with robust production expertise to deliver efficient, scalable and reliable marketing output. Our teams work collaboratively across design, development and production to support customers with dynamic, data driven solutions that streamline their campaigns and improve speed to market.
Company benefits
A range of exciting benefits are available!
After this apprenticeship
- 90% of QA apprentices secure permanent employment after completing: 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 VAC2000009945.
Apply now
Closes in 26 days (Wednesday 18 February 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.