Data Business Administrator Apprentice
Business and Accountancy Assist Ltd
UK (B1 3AJ)
Closes in 11 days (Tuesday 31 March 2026)
Posted on 18 March 2026
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 with Business and Accountancy Assist Ltd and Kaplan. You will be dealing with administrative tasks and enquiries whilst working towards the Data Technician L3 qualification.
- Wage
-
£15,600 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday
37 hours 30 minutes a week
- Start date
-
Wednesday 1 April 2026
- 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:
The Business Administrator provides administrative support to ensure efficient operation of the office. This role involves handling routine administrative tasks, supporting senior staff, and gaining foundational experience in business administration.
Where you'll work
3 Fournier House, 8 Tenby Street
Birmingham
West Midlands
UK
B1 3AJ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
KAPLAN FINANCIAL LIMITED
Training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
This apprenticeship provides your employees with fundamental capabilities crucial for navigating and leveraging data effectively within your organisation, allowing them to understand insights, foster transformation, and gain a competitive edge. Data Analysis Fundamentals Data Literacy and Generative AI Introduction Data Analysis and Visualisation with Excel Databases and Data Modelling Data Challenge and EPA Readiness Our apprenticeships are uniquely designed to offer unparalleled support for both employers and learners. We provide expert-led, practical training and simulations that build transferable digital skills and instill a growth mindset - essential for effectively leveraging technology.
Requirements
Essential qualifications
GCSE or equivalent in:
- Basic Maths (grade 9/A* - 4/C)
- Standard English (grade 9/A* - 4/C)
A Level or equivalent in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
Other requirements
Standard 28 days holidays per annum. Working hours: 9:00am to 17:30
About this employer
Business and Accountancy Assist Ltd (BAA) was set up in 2006 to offer accountancy and business solutions with a view to providing a total solution to businesses and individuals running their own businesses.
After this apprenticeship
This role provides foundational experience in business administration, with opportunities to progress to more senior administrative roles, such as Senior Business Administrator, Office Manager, or Operations Coordinator..
Ask a question
The contact for this apprenticeship is:
KAPLAN FINANCIAL LIMITED
The reference code for this apprenticeship is VAC2000021188.
Apply now
Closes in 11 days (Tuesday 31 March 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.