Data Technician 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 Blenheim Advisory Limited 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

Check minimum wage rates (opens in new tab)

Training course

Data technician (level 3)

Hours

To be confirmed.

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 include:

Scanning.
Recording invoices onto the system.
Assisting with monthly bookkeeping jobs.
Clients meet and greet.
Answering phone calls.
Dealing with HMRC queries.

Where you'll work

3 Feast Field, Horsforth
Leeds
UK
LS18 4TJ

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 and Visualisation.

Requirements

Essential qualifications

GCSE or equivalent in:

Basic Maths (grade 9/A* - 4/C)
Standard 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
Attention to detail
Organisation skills
Problem solving skills
Administrative skills
Number skills
Analytical skills
Logical
Team working
Initiative
Patience

About this company

We are Accountant and Financial Business Advisor. With a good reputation within the West Yorkshire region with a good clientele.

Company benefits

Benefits include: 20 Annual. 8 Bank Holidays.

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

Able to grow alongside with the business. Long-term stability.

Ask a question

The contact for this apprenticeship is: