Data Admin Support Apprentice

UYR LTD

SOUTH KIRKBY (WF9 3AP)

Closes in 28 days (Friday 3 October 2025)

Posted on 5 September 2025

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Summary

Are you highly organised, friendly, and looking to kick-start your career in a fast-paced, creative environment? Join our growing team where you'll play a key role in delivering outstanding service to our valued clients. You’ll be responsible for supporting the day-to-day admin and order processing tasks that keep our operation running smoothly.

Wage

£15,311.40 a year

Check minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
All details will be confirmed at interview.

39 hours a week

Start date

Friday 10 October 2025

Duration

1 year 5 months

Positions available

3

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

  • Processing client orders using our bespoke online portal and internal systems (full training provided)
  • Supporting the team with daily administrative tasks as required
  • Checking deliveries to sites and producing proof of delivery (POD) reports
  • Communicating with courier companies to resolve delivery issues
  • Answering inbound calls from clients and providing helpful, friendly assistance
  • Providing general day-to-day support to the Client Services Team
  • Maintaining accurate records of client orders, delivery logs, and service issues
  • Compiling and updating internal reports using Excel and other data tools
  • Assisting with data entry, validation, and basic analysis to support client service improvements
  • Monitoring KPIs and service metrics to help identify trends or areas for improvement

Where you'll work

UNIT 15-17
LANGTHWAITE BUSINESS PARK
LANGTHWAITE ROAD
SOUTH KIRKBY
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:

  • any 3 subjects (grade 4+ (A*- C))
  • 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
  • Team working
  • Non judgemental

About this employer

UYR Ltd is home to one of the largest design studios in the North of England, paired with a state-of-the-art in-house print production facility. We proudly work with some of the UK’s leading hospitality & Retail brands, and we’re expanding rapidly into exciting new sectors.

Company benefits

Be part of a friendly, supportive team in a creative, fast-growing business. Learn from experienced professionals and gain valuable industry skills. Clear progression opportunities for the right candidate.

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 VAC1000340752.

Apply now

Closes in 28 days (Friday 3 October 2025)

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