Data Administrator Apprenticeship
Wise Origin
Burton-On-Trent (DE14 1QA)
Closes in 18 days (Friday 5 December 2025 at 11:59pm)
Posted on 17 November 2025
Contents
Summary
We are looking for a proactive and organised Data Admin Apprentice. You will play an important role in supporting the day-to-day operations of the business. Working closely with various departments, you’ll ensure smooth and efficient administrative processes, accurate record-keeping, and excellent communication both internally and externally.
- Wage
-
£14,918.80 to £24,126.96, depending on your age
National Minimum Wage
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, 9.00am - 5.00pm
38 hours a week
- Start date
-
Friday 2 January 2026
- 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
Key Responsibilities:
- Provide general administrative support across departments
Process invoices, delivery notes, and compliance documentation for waste movement and recycling - Communicate professionally with suppliers, customers, and contractors via phone and email
- Organise and maintain digital and paper records in line with GDPR policies
- Support the scheduling of collections, deliveries, and internal meetings
- Assist in producing recycling and data destruction certificates
Contribute to improving administrative systems and processes to increase efficiency
Other Responsibilities:
- Summarise potential opportunities and risks of AI and IoT on recycling and waste data
- Evaluate the effect of data quality, bias, and security when using automated systems
- Compile and analyse recycling and waste-movement data to identify trends
- Create spreadsheets or dashboards showing monthly recycling rates and compliance metrics
- Validate and clean data sets before certificate production
- Prepare visual presentations of key data for management decisions
Where you'll work
Derwent Park, Hawkins Lane
Burton-On-Trent
DE14 1QA
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
LEARNING FOR FUTURES LTD
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
- 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
Requirements
Essential qualifications
GCSE in:
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
- Customer care skills
- Problem solving skills
- Team working
- Initiative
About this employer
Wise Origin is a national training provider which was established in 2006. We deliver further education and provide employment opportunities through our Apprenticeship Programmes and other funded provisions. We specialise in IT, Digital & Data Apprenticeships and our aim is to help businesses and individuals make wise decisions for better futures.
After this apprenticeship
- Potential progression for the right candidate
Ask a question
The contact for this apprenticeship is:
LEARNING FOR FUTURES LTD
The reference code for this apprenticeship is VAC2000000764.
Apply now
Closes in 18 days (Friday 5 December 2025 at 11:59pm)
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