Data Technician Apprentice

BEST YOU TRAINING LIMITED

STOKE ON TRENT (ST1 1EE)

Closes on Wednesday 3 December 2025

Posted on 29 October 2025


Summary

We are a multi-faceted beauty organisation encompassing a training academy, salon, pharmacy, wholesaler, and supplier. We’re seeking an exceptionally organised and detail-driven individual to join our team as a PA/Admin & Data Technician.

Training course
Data technician (level 3)
Hours
Monday to Friday 9am - 5pm

37 hours 30 minutes a week

Start date

Thursday 4 December 2025

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

  • Provide professional PA and administrative support to management and team leaders
  • Manage diaries, schedule meetings, and prioritise daily workflows to maximise efficiency
  • Liaise confidently with customers, suppliers, and internal teams across multiple levels of the business
  • Handle correspondence, emails, and calls with professionalism and discretion
  • Take ownership of administrative processes, ensuring smooth communication and document control
  • Assist in preparing reports, presentations, and meeting notes as required

Data Management & Technical Administration:

  • Maintain and update databases, spreadsheets, and CRM systems with a high degree of accuracy
  • Research, source, and verify information from suppliers, partners, and external contacts
  • Collate, organise, and upload documentation into internal systems and shared drives
  • Manage and analyse data across multiple sources, including sales, products, and financial performance
  • Perform data entry, categorisation, and quality control with precision and consistency
  • Identify data discrepancies, troubleshoot issues, and ensure information integrity across systems

Where you'll work

38 PALL MALL
STOKE ON TRENT
ST1 1EE

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

Data Technician Level 3.

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
  • Analytical skills
  • Team working
  • Initiative

Other requirements

• Experience in administration, data analysis, or PA support roles. • Knowledge of CRM systems, spreadsheets, and financial reporting tools. • Previous experience in a retail, beauty, or multi-business environment. • Understanding of data handling, compliance, and information management best practices.

About this employer

Beauty training at it's best. With 60 online and classroom courses. We have been in the beauty industry for over 20 years.

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

After this apprenticeship

This role could grow into a full-time position after your apprenticeship ends.

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

NOWSKILLS LIMITED

The reference code for this apprenticeship is VAC1000348798.

Apply now

Closes on Wednesday 3 December 2025

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