Administrative Assistant Apprentice

Summary

Are you looking to build a long-term career in Data? Then look no further! Start your career today with a level 3 data technician qualification with CJM Associates and Kaplan. You will be gaining valuable workplace experience whilst also working towards the qualification.

Wage

£14,918.80 for your first year, then could increase depending on your age

National Minimum Wage rate for apprentices

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Training course

Data technician (level 3)

Hours

Monday - Friday, working hours TBC

37 hours 30 minutes a week

Start date

Monday 4 August 2025

Duration

1 year 6 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

Job duties:

Answering phones
Welcoming clients
Writing letters
Liaising with HMRC
Electronically filing post
Filing of statutory documents to Companies House

Where you'll work

Floor 2, Lakeside Point, Lakeside Business Park, Walkmill Way
Cannock
Staffordshire
UK
WS11 0XE

Training

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

College or training organisation

KAPLAN FINANCIAL 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. If you need to unlock and better communicate the data and technology you have at your disposal, this apprenticeship will help your employees become more data literate to understand insights, create transformation, and give you the competitive edge. With sharp analysis at its heart, a Kaplan Data Literacy apprenticeship is anything but standard. As well as developing technical skills using a range of core technologies and platforms, we support our learners to weave together the ability to source, analyse, work with data, and generate insights that underpin business decisions. Our Data Literacy apprenticeship programme integrates five modules of technical training with work-based projects. This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training. The modules include Microsoft Office Specialist: Excel Associate Data Literacy Data Analysis.

Requirements

Essential qualifications

GCSE or equivalent in:

Maths (grade 9/A* - 4/C)
English (grade 9/A* - 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
Attention to detail
Organisation skills
Customer care skills
Problem solving skills
Presentation skills

Other requirements

Please note the pay for this role is minimum apprentice wage for age. Holidays - 20 days + 8 bank holidays + birthday. Pension - standard auto-enrolment. Benefits - flexitime. Parking available and bus stops nearby.

About this company

We are a young, vibrant accountancy practice that values our employees and tries to create an environment which people look forward to come to.

After this apprenticeship

Potential to pursue in accountancy.

Ask a question

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