Data Admin Technician Level 3 Apprentice
TaxAssist Accountants
Bromsgrove (B61 8AB)
Closes in 31 days (Friday 30 October 2026)
Posted on 29 September 2026
Contents
Summary
12-month Level 3 Data Technician apprenticeship at TaxAssist Worcester: sourcing, cleaning and presenting data using Excel/Power BI. Needs GCSE Maths & English 4/C. Leads to Level 4 Data Analyst.
- Wage
-
£19,000 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday to Friday 9:00am -5:00pm
37 hours 30 minutes a week
- Start date
-
Monday 30 November 2026
- Duration
-
1 year 5 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
The apprentice will support data related activity across the organisation. Responsibilities may include:
• Assisting with the collection, sourcing and validation of data from multiple systems
• Preparing, cleaning and formatting data ready for analysis
• Supporting basic data analysis and quality checks
• Helping to produce simple reports, charts or visualisations to communicate findings
• Supporting secure storage and management of data in line with policies and regulations
• Communicating data findings to colleagues and internal users
Where you'll work
17 The Strand
Bromsgrove
B61 8AB
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
SOLVEWAY 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
As part of this Level 3 Data Technician apprenticeship, you will receive comprehensive training including:
Structured off-the-job training delivered by Solveway Apprenticeships.
Support to compile portfolio evidence linked to your workplace activities.
Regular progress reviews to track your development.
Guidance from a designated workplace mentor.
Preparation for successful completion of your End Point Assessment.
The employer will provide appropriate workplace tasks to develop competence in data handling, analysis, presentation, and professional behaviours.
Requirements
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
- Problem solving skills
About this employer
TaxAssist Accountants Worcester operates within the Accountancy & Tax sector and uses data to support key business decisions.
The organisation relies on effective data management to maintain accurate business information, support performance insight and improve operational outcomes. This apprenticeship role will sit within the data, IT or analytics team and help ensure data is collected, formatted, analysed and communicated to support business needs, while building the knowledge, skills and behaviours required for the Level 3 Data Technician apprenticeship.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Upon successful completion of the Level 3 Data Technician apprenticeship, you will have developed strong practical data skills, technical knowledge, and professional behaviours, positioning you for progression within the organisation. There may be opportunities to advance to a Level 4 Data Analyst apprenticeship, subject to performance and business needs. You could also progress into more senior data or analytics roles, supporting a long-term career in data, business insight, or digital services.
Ask a question
The contact for this apprenticeship is:
SOLVEWAY LIMITED
The reference code for this apprenticeship is VAC2000056029.
Apply now
Closes in 31 days (Friday 30 October 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.