Data Administrator Apprenticeship

ASHCOURT (LINCOLNSHIRE) LIMITED

Grimsby (DN31 2TG)

Closes in 31 days (Sunday 4 January 2026 at 11:59pm)

Posted on 2 December 2025


Summary

Working for a large and respected aggregates company based at their Grimsby site, you will have the opportunity to grow and develop within the organisation whilst being supported by experienced professionals. If you are organised, detail-oriented, and passionate about making a difference then we want to hear from you.

Training course
Data technician (level 3)
Hours
Monday - Friday, 9.00am - 5.00pm.

38 hours a week

Start date

Tuesday 13 January 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

Step into a role where every day is different and you’re right at the heart of keeping a busy operation running smoothly. You will receive full training on your duties which include but are not limited to:

  • Answering queries via telephone and escalating where required
  • Completing Customer Tickets (Aggregates / Concrete / Weighbridge / Sweeper)
  • Daily Internal Journal Entries
  • Daily Movements Log of Customer Jobs onto Shared Sheet
  • To cover Weighbridge when required
  • Generating Proforma Sales Invoices
  • Taking Card Payments over the Phone
  • Dealing with Sales Invoice Queries
  • Email management
  • Ordering Stationery & Kitchen Supplies
  • Road Fund Tax Admin
  • Meter Readings
  • CIS and Aggregate Levy Returns
  • Coding Invoices + Posting Supplier Invoices onto SAGE 200
  • New Supplier Accounts
  • Matching Tickets to Invoices

Where you'll work

Estate Road 2
South Humberside Industrial Estate
Grimsby
DN31 2TG

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. 

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 Content Creation, Data, 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
  • Customer care skills
  • Problem solving skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Initiative
  • Patience
  • Methodical

About this employer

Ashcourt Group is a family-run organisation and a leading supplier of construction materials and waste management solutions. Since the group’s inception in 2012, we have expanded significantly through organic growth and a number of strategic acquisitions.To date, the company has just over 1,000 employees and operates across Yorkshire, Lincolnshire and the North East, with plans to expand nationally. We currently have several aggregate outlets, six ready-mix concrete plants, multiple wash plants and other recycling facilities, and have a fleet in excess of 220 HGVs out on the roads daily, servicing our customers across the construction industry.

https://ashcourt.com/ashcourt-lincolnshire (opens in new tab)

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

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, including potential progression to the Level 3 Team Leader apprenticeship.

Ask a question

The contact for this apprenticeship is:

AVANT PARTNERSHIP LIMITED

The reference code for this apprenticeship is VAC2000002547.

Apply now

Closes in 31 days (Sunday 4 January 2026 at 11:59pm)

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