Data Technician Apprenticeship

Summary

Are you passionate about data and eager to launch your career in a meaningful, people-focused sector? Omega Care Group is looking for a motivated and detail-oriented individual to join our team as a Data Technician Apprentice. This is a fantastic opportunity to gain hands-on experience while supporting our mission to deliver care services.

Wage

£15,704 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

Check minimum wage rates (opens in new tab)

Training course

Data technician (level 3)

Hours

Monday - Friday, 9.00am - 5.00pm

40 hours a week

Start date

Monday 7 July 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

Keeping staff files updated both paper and digital, maintain both electronic files, hard files and records accurately
Answering daily phone calls and emails
Helping with recruitment process: safer recruitment, DBS applications, references and file set up
Monitor pool cars tax, MOT services and car repairs
Support the effective operation of property safety checks/ maintenance and assist homes with queries

Where you'll work

40-42 Kemble Street
Prescot
L34 5SQ

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)

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 Apprenticeship Standard

More training information

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

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
Team working
Initiative
Punctual and reliable
Experience with Excel

About this company

Since 2015 we have been transforming what the provision of care is all about. Everything we do is focussed on delivering the best experience possible for our children and young people, through our portfolio of businesses we have built an infrastructure that puts people first, improves the delivery of care and empowers everyone to realise their full potential.

https://omegalife.uk/ (opens in new tab)

After this apprenticeship

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

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