Brash Solutions AI & Digital Support Apprentice

Brash Solutions is currently recruiting for a bright, friendly, and enthusiastic AI & Digital Support Apprentice to work in our offices in Berkhamsted. Working within a small team of experienced Support Technicians, you will be taking calls from our client’s staff and assist them with a wide variety of IT queries.

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work:

• Be a friendly face of IT while users are experiencing problems
• Taking requests from users via email, ticketing system, and telephone
• Adhere to challenging SLA requirements, logging full details of time and work undertaken
• Completing initial troubleshooting in a timely manner
• Monitor the support ticket system for incidents requiring escalation or urgent attention
• Build and maintain desktop/laptop PCs/Macs and Windows Servers
• Follow and apply IT policies and procedures applicable to each client
• Help and advise on digital and AI requirements from clients
• Diagnose and resolve hardware and software faults
• System health checks
• Software and app support

Where you'll work:

SUITE S 18-20
AUDLEY HOUSE
NORTH BRIDGE ROAD
BERKHAMSTED
HP4 1EH

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)

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, avoiding 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.