Office Administrator Apprentice
DIGICOMM 360 LIMITED
Bolton (BL1 4AY)
Closes in 19 days (Saturday 28 February 2026)
Posted on 28 January 2026
Contents
Summary
We’re looking for a proactive and organised individual to join our team as a Data Technician Apprentice. This role oversees all administrative activities and supports the overall operations of the office. You’ll work closely with Office Managers to ensure office systems run efficiently.
- 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
-
Monday - Friday, 9.00am - 5.00pm
37 hours 30 minutes a week
- Start date
-
Saturday 28 March 2026
- 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
- Database Management
- Microsoft Dynamics CRM
- Lead Data including external data from source and export for call out and email campaigns
- Maintenance, Support and Product Contracts
- Collating product data based on what Digicomm sell or will be selling
- Creating / Assisting with the creation of quote templates
- Organising images for relevant products
- Centralising a stock list and or adding to Quotewerks
- Record Management & Structure
- Creating and deploying templates
- Preparation, documentation, and implementation of processes for quality systems accreditation - example ISO
- Answering inbound general company telephone calls and accounts calls
- Fall back for operations calls
- Take specific details of the person calling, fault being reported and understanding the priority
Where you'll work
34 Queensbrook
Technology Exchange
Bolton
BL1 4AY
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
NOWSKILLS 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
More training information
- Apprenticeships include time away from working for specialist training
- You’ll study to gain professional knowledge and skills
Requirements
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Team working
- Initiative
About this employer
We are Digicomm 360 It’s our mission to help businesses communicate by providing the best outsourced telecoms and IT solutions based in the North West and delivering across the UK. With over 100 years collective expertise, backed up with experience and award wins, we fully understand how effective communications can help an organisation thrive.
After this apprenticeship
- The successful candidate may be chosen to have a full-time role after completing their apprenticeship
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000011317.
Apply now
Closes in 19 days (Saturday 28 February 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.