Data Technician Apprentice

Summary

Are you passionate about data and eager to kickstart your career in tech? We’re looking for a motivated and detail-oriented Data Technician Apprentice to join our Business Intelligence team. This is a fantastic opportunity to gain hands-on experience with SAP Business One, contribute to real-world projects, and earn while you learn!

Wage

£17,500 a year

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Salary Increase after 1 year. Bonus scheme after probation pass

Training course

Data technician (level 3)

Hours

Monday - Friday, Shifts to be confirmed.

37 hours 30 minutes a week

Start date

Friday 1 August 2025

Duration

1 year 9 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 firstline support for SAP Business One queries and issues
Assist in maintaining and improving our SAP B1 system across the Group
Collaborate with BI Analysts to update reports and improve data processes
Monitor data accuracy and integrity, and perform regular housekeeping
Support larger SAP related projects and manage support tickets via Freshdesk
Help document BI processes and load/monitor data in SAP B1

Where you'll work

Aston Road Waterlooville
Portsmouth
Hants
PO7 7XJ

Training

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

College or training organisation

PETA LIMITED

Your training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

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

Data Technician Level 3 Apprenticership Standard
The training will take place online via the PETA website
Every 4-6 weeks the apprentice will have a meeting with a PETA teacher
The modules will be spread out across the 18 months

Requirements

Essential qualifications

GCSE in:

English (grade 4/C)
Mathematics (grade 4/C)

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
Presentation skills
Administrative skills
Analytical skills

About this company

The West Group Limited - Design, Production and Supply of miniature fluid parts.

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

Company benefits

After Probation : Bonus scheme, Private healthcare and other benefits.

After this apprenticeship

After the apprenticeship, there is the possibility of a permanent positon as a BI Admin, then BI Analyst

Ask a question

The contact for this apprenticeship is:

THE WEST GROUP LIMITED

Liam Bertram

lbertram@westgroup.co.uk

The reference code for this apprenticeship is VAC1000326920.

Apply now

Closes on Thursday 31 July 2025

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

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