Data Administration Apprentice
FONUA (UK) LIMITED
Cannock (WS11 8XW)
Closes in 29 days (Friday 28 November 2025 at 11:59pm)
Posted on 23 October 2025
Contents
Summary
Velocity Academy has an exciting new opportunity for a Data Administration Apprentice with Fonua UK, a supply chain solutions company based in Ireland and Cannock, Eng. This role will be located in Cannock. This is a fantastic opportunity for someone to get themselves into Operations Business Admin & Data, kickstarting a career.
- 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 between 8.30am - 5.00pm.
37 hours 30 minutes a week
- Start date
-
Monday 1 December 2025
- Duration
-
1 year 6 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 the Operations team with tasks such as research
- General Administration duties
- Answering the phone
- Emails
- Creating a customer database
- Data input and processing
- You will ensure data accuracy
Where you'll work
Orbital Way
Cannock
WS11 8XW
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
VELOCITY 1ST 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
Data Technician Level 3 Apprenticeship Standard:
- An apprenticeship includes regular training with a college or other training organisation
- At least 20% of your working hours will be spent training or studying
More training information
Velocity apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, they will provide the skills necessary to succeed in the workplace and to expand future career prospects.
Throughout the apprenticeship, learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their programme.
Successful completion of this apprenticeship gives you an accredited Level 3 Data Technician qualification, with training in how to:
- Source data from a collection of trusted sources
- Collate and format data to facilitate processing and presentation
- Present data for review and analysis by others
- Analyse simple and complex structures and unstructured data to support business outcomes
- Communicate results verbally, through reports and technical documentation
- Store, manage and share data securely in a compliant manner
For a full list of programme modules visit: https://velocity-pt.co.uk/
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
- Organisation skills
- Administrative skills
- Analytical skills
- Team working
- Initiative
- Patience
About this employer
With over 25 years’ experience in offering specialist supply chain solutions to the mobile phone industry, Fónua have developed an industry-leading Device Ownership & Supply Chain Optimisation Model. Fónua have long standing direct procurement relationships with all the key mobile device hardware OEMs. Fónua have developed bespoke procurement and supply chain solutions for several key customers including Vodafone, EE, Virgin Media O2, Tesco Mobile.
After this apprenticeship
- The role offers long-term security and the opportunity to progress into a permanent position
Ask a question
The contact for this apprenticeship is:
VELOCITY 1ST LIMITED
Ivana Mohilova
ivana@velocity-academy.co.uk
The reference code for this apprenticeship is VAC1000348035.
Apply now
Closes in 29 days (Friday 28 November 2025 at 11:59pm)
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