Data Administrator Apprenticeship
ASHCOURT CONCRETE LIMITED
East Riding Of Yorkshire (HU8 8BT)
Closes on Monday 26 January 2026
Posted on 16 December 2025
Contents
Summary
Do you want to work for a well-respected large organisation? Are you organised, detail-oriented, with drive and determination? Then we want to hear from you! As a Data Administrator, you’ll play a key role in keeping things running smoothly, from managing vital records to coordinating services that support the community every day.
- Wage
-
£15,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, between 8.30am - 5.00pm.
38 hours a week
- Start date
-
Monday 9 February 2026
- 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
- Answering and effectively dealing with general calls and email enquiries, as well as customer complaints and queries
- Collating day sheets and progressing of WeighSoft
- Allocating supplier POD’s against invoices
- Being a point of contact for PPE orders within our division and liaising with procurement to ensure these orders are placed, delivered and distributed accordingly
- Daily administrative tasks – ensuring all driver paperwork is collected and orders are checked and completed in a timely manner in preparation for invoicing
- Taking payments via telephone
- Assisting in the coordination of dispatch orders
- Being a point of contact for our drivers, providing operational support, and ensuring their questions and/or concerns are dealt with effectively
- Assisting with accounts
- Covering Weighbridge when needed
- Covering Reception when needed
Where you'll work
Ashcourt Group
Foster Street
Hull
East Riding Of Yorkshire
HU8 8BT
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
AVANT PARTNERSHIP 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
As part of the Level 3 Data Technician Apprenticeship Standard, you will learn the knowledge, skills and behaviours which will support you for your end-point assessment.
You will take part in a combination of activities, such as face-to-face classroom-based sessions, work shadowing and online learning, to support your learning and development and compile a portfolio of evidence.
The successful candidate will be required to undertake training sessions with Avant Skills Academy every other week throughout the length of the apprenticeship. If you have not achieved a GCSE grade 4 (C) in English and maths, you will be required to complete Functional Skills Level 2 in English and maths.
At the end of the on-programme learning, you will be required to undertake an End-Point Assessment (EPA) to demonstrate you have met the occupational standard.
More training information
Avant Skills Academy is a leading provider of pre-apprenticeship and apprenticeship programmes, awarded 'Expert Apprenticeship Provider' status by the Department for Education. We deliver Apprenticeship training across Grimsby and North East Lincolnshire, Hull and East Yorkshire in a range of occupational sectors including Business, Data, Digital, Hairdressing, Management and Marketing. We are proactive, passionate and committed, and we pride ourselves on our achievements and the success of our learners.
Requirements
Essential qualifications
GCSE in:
- English (grade 4)
- Maths (grade 4)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- IT skills
- Attention to detail
- Organisation skills
- Administrative skills
- Number skills
- Analytical skills
- Initiative
About this employer
Ashcourt Concrete are are national company with sites around the UK. The Hull site is based onFoster Street and you will be joining a well established team with many years of experience to support you.
After this apprenticeship
With this apprenticeship, should you prove yourself to be the right candidate for the job, you can expect continued employment and excellent developmental and progression opportunities.
Ask a question
The contact for this apprenticeship is:
AVANT PARTNERSHIP LIMITED
The reference code for this apprenticeship is VAC2000005353.
Apply now
Closes on Monday 26 January 2026
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