Data Technician Apprentice

KAINUU LTD

Barnsley (S71 3HW)

Closes in 21 days (Thursday 24 April 2025)

Posted on 24 March 2025


Summary

We are looking for a motivated and enthusiastic candidate to join our Business Support team as a Data Technician Apprentice. In this role, you will be responsible for managing and analysing data, creating reports, and supporting various data-driven projects. If you have a keen eye for detail and a passion for accuracy, we want to hear from you!

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

37 hours a week

Start date

Saturday 24 May 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

  • Processing orders and quotes using Window Designer software
  • Ensuring customer enquiries & amendments are promptly resolved via telephone, email and in-person
  • Understanding and explaining product range, features & benefits
  • Maintaining high standards of account data in our CRM
  • Liaising with production, despatch, sales, marketing & finance departments

Where you’ll work

Unit 6
Carlton Industrial Estate, Albion Road, Carlton
Barnsley
S71 3HW

Training

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

College or training organisation

NOWSKILLS LIMITED

Your training course

Data technician (level 3)

Equal to A level

Course contents
  • Source and migrate data from already identified different sources.
  • Collect, format and save datasets.
  • Summarise and explain gathered data.
  • Blend data sets from multiple sources and present in format appropriate to the task.
  • Manipulate and link different data sets as required.
  • Use tools and techniques to identify trends and patterns in data.
  • Apply basic statistical methods and algorithms to identify trends and patterns in data.
  • Apply cross checking techniques for identifying faults and data results for data project requirements.
  • Audit data results.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent technical documentation using standard organisational templates.
  • Store, manage and distribute in compliance with data security standards and legislation.
  • Explain data and results to different audiences in a way that aids understanding.
  • Review own development needs.
  • Keep up to date with developments in technologies, trends and innovation using a range of sources.
  • Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
  • Operate as part of a multi-functional team.
  • Prioritise within the context of a project.
  • Source and migrate data from already identified different sources.
  • Collect, format and save datasets.
  • Summarise and explain gathered data.
  • Blend data sets from multiple sources and present in format appropriate to the task.
  • Manipulate and link different data sets as required.
  • Use tools and techniques to identify trends and patterns in data.
  • Apply basic statistical methods and algorithms to identify trends and patterns in data.
  • Apply cross checking techniques for identifying faults and data results for data project requirements.
  • Audit data results.
  • Demonstrate the different ways of communicating meaning from data in line with audience requirements.
  • Produce clear and consistent technical documentation using standard organisational templates.
  • Store, manage and distribute in compliance with data security standards and legislation.
  • Explain data and results to different audiences in a way that aids understanding.
  • Review own development needs.
  • Keep up to date with developments in technologies, trends and innovation using a range of sources.
  • Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
  • Operate as part of a multi-functional team.
  • Prioritise within the context of a project.

Your training plan

This training plan 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

Your training takes place at work and NowSkills also provides live online, on-demand online, and 1:1 with your subject specialist digital tutor that you will have assigned to you.
Upon successful completion, you will receive a certification of your Level 3 Data Technician Apprenticeship Standard.

Requirements

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Number skills

Other requirements

Previous experience of data processing or data entry in the window and door industry would be advantageous.

About this company

NowSkills brings together committed apprentice employers, motivated apprentices, and the very best digital apprenticeship programs with up-to-date technical delivery, enabling employers to develop the next generation of digital talent. Our apprenticeships allow apprentices to embark upon, or accelerate rewarding and meaningful careers.

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

After this apprenticeship

The successful candidate, upon completion, may be offered a full-time role.

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

The reference code for this apprenticeship is VAC1000311369.

Apply now

Closes in 21 days (Thursday 24 April 2025)

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