Data / Administration Apprentice

Wise Origin

Burton-On-Trent (DE14 1QA)

Closes in 13 days (Monday 6 October 2025 at 11:59pm)

Posted on 22 September 2025

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Summary

We are looking for a proactive and organised Data Admin Apprentice to support our operations team by managing data, improving administrative systems, and supporting day-to-day business functions. This is a dual-role apprenticeship combining data analysis, information management, and business administration.

Wage

£14,722.50 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

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Training course
Data technician (level 3)
Hours
Monday- Friday 9am- 5.30pm (1 hour unpaid lunch)

37 hours 30 minutes a week

Start date

Monday 20 October 2025

Duration

2 years

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

Data Admin Duties:

  • Collect, validate, and format data from internal systems and external sources
  • Maintain and update databases (Excel, CRM, internal systems)
  • Use data tools to support decision-making and provide insights into business performance
  • Identify data trends and anomalies for reporting
  • Assist in the creation of dashboards, spreadsheets, and performance trackers
  • Ensure data integrity, accuracy, and compliance with data protection regulations

Business Administration Duties:

  • Provide general administrative support across departments
  • Process invoices, delivery notes, and documentation for waste movement and recycling compliance
  • Communicate with suppliers, customers, and contractors by phone and email
  • Organise and file digital and paper records in line with GDPR policies
  • Support scheduling of collections, deliveries, and internal meetings
  • Help streamline office processes to improve efficiency

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

  • All training will be delivered online by Wise Origin, offering flexible, expert-led instruction with interactive sessions and digital resources
  • This ensures apprentices can develop their skills while balancing work commitments

More training information

  • 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 Digital, IT & Data Apprenticeships and our aim is to help businesses and individuals make wise decisions for better futures
  • Throughout the program, you will receive dedicated support from your tutor to ensure your success
  • Upon completing your apprenticeship, you will be awarded the Level 3 Data technician Standard

Requirements

Essential qualifications

GCSE in:

Maths and English (grade (Grade A-C or 4-9))

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
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative
  • Basic understanding of data

Other requirements

• Eligibility to work and train in the UK • A genuine interest in data and business operations

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.

Disability Confident

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

  • Real-world experience in both data and business admin functions
    Mentorship from experienced industry professionals
  • Skills in Excel, data processing, reporting, and compliance
  • Opportunity for full-time employment and career development post-apprenticeship

Ask a question

The contact for this apprenticeship is:

Wise Origin

Jules Williamson

jules.williamson@wiseorigin.co.uk

The reference code for this apprenticeship is VAC1000343074.

Apply now

Closes in 13 days (Monday 6 October 2025 at 11:59pm)

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