Summary
As a Digital Support Technician Apprentice, you’ll play a key role in delivering outstanding customer support and helping businesses make the most of our cutting-edge EPOS technology.
Wage
£14,800 a year
£14,800 - £15,800 per annum
Training course
Data technician (level 3)
Hours
Monday to Friday, 10am - 6pm with 1 hour lunch break.
35 hours a week
Start date
Wednesday 18 June 2025
Duration
1 year 4 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
* Supporting customers through the onboarding process, from initial setup to post-installation training.
* Delivering remote product demonstrations and assisting with software and hardware installations.
* Providing technical support and troubleshooting for a variety of issues, including EPOS, software, network, and e-commerce queries.
* Managing customer accounts, maintaining accurate records in our CRM system, and conducting regular check-ins to ensure satisfaction.
* Collaborating with internal teams, including software developers, to help shape future system improvements based on customer feedback.
* Occasionally, visiting customer sites to provide in-person support and build strong, long-term relationships.
Where you'll work
28 Cleveland St
Wolverhampton
WV1 3HT
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
College or training organisation
QA LIMITED
Your training course
Data technician (level 3)
What you'll learn
Course contents
* Source and migrate data from already identified different sources.
* Collect, format and save datasets.
* Summarise and explain gathered data.
* Blend data sets from multiple sources and present in format appropriate to the task.
* Manipulate and link different data sets as required.
* Use tools and techniques to identify trends and patterns in data.
* Apply basic statistical methods and algorithms to identify trends and patterns in data.
* Apply cross checking techniques for identifying faults and data results for data project requirements.
* Audit data results.
* Demonstrate the different ways of communicating meaning from data in line with audience requirements.
* Produce clear and consistent technical documentation using standard organisational templates.
* Store, manage and distribute in compliance with data security standards and legislation.
* Explain data and results to different audiences in a way that aids understanding.
* Review own development needs.
* Keep up to date with developments in technologies, trends and innovation using a range of sources.
* Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
* Operate as part of a multi-functional team.
* Prioritise within the context of a project.
* Source and migrate data from already identified different sources.
* Collect, format and save datasets.
* Summarise and explain gathered data.
* Blend data sets from multiple sources and present in format appropriate to the task.
* Manipulate and link different data sets as required.
* Use tools and techniques to identify trends and patterns in data.
* Apply basic statistical methods and algorithms to identify trends and patterns in data.
* Apply cross checking techniques for identifying faults and data results for data project requirements.
* Audit data results.
* Demonstrate the different ways of communicating meaning from data in line with audience requirements.
* Produce clear and consistent technical documentation using standard organisational templates.
* Store, manage and distribute in compliance with data security standards and legislation.
* Explain data and results to different audiences in a way that aids understanding.
* Review own development needs.
* Keep up to date with developments in technologies, trends and innovation using a range of sources.
* Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
* Operate as part of a multi-functional team.
* Prioritise within the context of a project.
Your training plan
Why choose AI & Digital Support?
This programme brings together AI, Microsoft Copilot and broader digital skills to provide support and advice to users across a wide range of business software and Generative AI applications, enhancing digital transformation and increasing AI literacy across your organisation.
* Accelerate AI adoption
* Streamline productivity
* Champion innovation
The AI & Digital Support programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts.
Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments.
Apprentices will learn to use a variety of tools and technologies, including:
* Microsoft 365
* Microsoft Copilot
* SaaS (Software as a Service) applications.
Requirements
Essential qualifications
GCSE in:
* 3 of any subject (grade 4+ (A* - C))
* Maths & English (grade 3+ (D or above))
Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
* Communication skills
* IT skills
* Attention to detail
* Organisation skills
* Customer care skills
Other requirements
About QA: Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Interested? Apply now!