Data Technician Apprentice
Blenheim Advisory Limited
UK (LS18 4TJ)
Closes in 26 days (Thursday 31 July 2025)
Posted on 4 July 2025
Contents
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
- 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:
KAPLAN FINANCIAL LIMITED
The reference code for this apprenticeship is VAC1000330046.
Apply now
Closes in 26 days (Thursday 31 July 2025)
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After signing in, you’ll apply for this apprenticeship on the company's website.