Office Administration Apprentice

ARAN PIPELINE SERVICES LTD

WARRINGTON (WA5 1DF)

Closes in 31 days (Saturday 13 June 2026)

Posted on 13 May 2026

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Contents

Summary

At Aran Supplies, we’re looking for a motivated Data Technician to join our growing team. This is an exciting opportunity to play a key role in maintaining and improving our data systems, supporting business operations, and helping drive informed decision-making across the company.

Wage

£15,600 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday, times to be confirmed.

37 hours 30 minutes a week

Start date

Monday 13 July 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

  • Researching suppliers
  • Copying Test Certificates and forwarding on to appropriate customers
  • Liaising with customers and 3rd party suppliers to ensure all documentation is completed and uploaded onto the system.
  • Maintaining databases, CRM systems, spreadsheets, and online documents
  • Working to tight deadlines
  • General office administration duties
  • Analysing Data across multiple sources and platforms
  • Product categorising
  • Data Entry
  • Handle data in several applications and troubleshoot issues
  • Source & collate data
  • Present & blend data
  • Maintain impeccable communication methods, formats, and techniques
  • Filter details, focusing on information relevant to the project

Where you'll work

2 FORREST WAY
GATEWORTH INDUSTRIAL ESTATE
SANKEY BRIDGES
WARRINGTON
WA5 1DF

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

NOWSKILLS 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

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

More training information

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

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
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Administrative skills
  • Team working
  • Initiative

About this employer

We remain the largest purely British owned company in our field. Traditionally oil, gas and nuclear, we now are the supplier of choice to the Hydrogen sector, with our mill contacts proving invaluable. Arran Pipeline Supplies Ltd has for many years been exporting goods all over the world, and has its own subsidiary case making facility and export shipping department, with ISPM 15 certification.

https://arranps.co.uk/ (opens in new tab)

After this apprenticeship

The successful candidate may be chosen to have a full-time role after completing their apprenticeship.

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

The reference code for this apprenticeship is VAC2000031635.

Apply now

Closes in 31 days (Saturday 13 June 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.