Apprentice Data Technician (36332)
Kingston upon Hull City Council
Hull (HU1 1HJ)
Closes in 25 days (Friday 16 January 2026)
Posted on 22 December 2025
Contents
Summary
Hull City Council are looking for a self-motivated and confident individual to help implement a framework to assess information and data, looking at how it is collected, managed, stored, analysed and used.
- Wage
-
£14,526.20 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, hours TBC
37 hours a week
- Start date
-
Monday 26 January 2026
- Duration
-
2 years
- 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
A normal day would include:
• Accessing our systems to locate information
• Recording how our information and data is created, managed and stored
• Identifying how this information and data is analysed and used
• Reporting and presenting findings
• Make recommendations for improvements to information and data
• Communicating with a wide range of staff across various teams
What you could go on to do
This apprenticeship will provide you with a good understanding of the important of information and data in complex organisations, which is a growth area within local government.
How you will be supported
Full training and support will be provided by The Growth Company to help you achieve your apprenticeship and reach your full potential in your role.
You will be allocated a mentor within the organisation and provided with learning opportunities outside of the apprenticeship.
What will happen next
New applicants to The Growth Company who meet any basic entry requirements of the role will be contacted within two working days to be invited to meet a member of our team. You will then have the opportunity to find out:
• More about this vacancy and any others you are suitable for
• Any training you need to complete
• What the next steps will be
Where you'll work
Warehouse No 9
Guildhall Road
Hull
HU1 1HJ
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
THE GROWTH COMPANY 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
Data Technician (Level 3) apprenticeship standard
Requirements
Essential qualifications
GCSE in:
- English (grade A*-C/9-4)
- Maths (grade A*-C/9-4)
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
- Number skills
- Team working
- Initiative
- Understanding of Data
- Confident
- Curiosity
About this employer
A major employer within Hull delivering a wide range of statutory services within the local government sector. This role will be positioned within Neighbourhoods and Housing.
After this apprenticeship
Possible progression within the company and progression onto the next level apprenticeship.
Ask a question
The contact for this apprenticeship is:
THE GROWTH COMPANY LIMITED
The reference code for this apprenticeship is VAC2000006183.
Apply now
Closes in 25 days (Friday 16 January 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.