Data Technician Apprentice
KNIGHT KAVANAGH AND PAGE LIMITED
BURY (BL9 0UF)
Closes on Tuesday 2 December 2025
Posted on 29 October 2025
Contents
Summary
Knight, Kavanagh & Page, a specialist sport and leisure consultancy company, has a vacancy in our IT/Mapping team to assist in the delivery of project work. The successful candidate will be part of our expert team supporting a wide range of assignments and will gain practical experience and training in IT and geographic information mapping systems.
- Wage
-
£11,778 for your first year, then could increase depending on your age
National Minimum Wage rate for apprentices
- Training course
- Data technician (level 3)
- Hours
-
Mon-Fri 9 am-4 pm.
30 hours a week
- Start date
-
Wednesday 3 December 2025
- Duration
-
1 year 4 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
- Setting up and maintenance of Excel databases using in-house templates
- Setup of online surveys using in-house templates
- Survey analysis
- Producing maps using our GIS (Geographic Information System) software
- Maintaining/updating data from national sources (e.g. Census data)
- Assisting with general hardware management: cabling, cataloguing, and labelling new equipment, printers, etc.
- Supporting IT problem solving, including initial diagnostics for software (Word, Excel) and hardware
- Working with KKP’s external IT support for hardware/software issues which cannot be resolved internally and following these through to resolution
- Basic hardware maintenance tasks: including, but not limited to, cleaning PC’s, moving PC’s around the building and configuring / re-configuring them ready for use
Where you'll work
1-2 FRECHEVILLE COURT
BURY
BL9 0UF
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
NOWSKILLS 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
More training information
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
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
- Attention to detail
- Organisation skills
- Team working
- Initiative
Other requirements
The successful candidate must have an aptitude for working in IT and have a willingness to learn KKP’s approach to IT support for a wide range of projects. They must be hardworking and reliable, with an enthusiastic approach to learning. Basic understanding and skillset in Excel.
About this employer
Expert lead consultants are supported by best in class in-house research, GIS, database and fieldwork teams. KKP is on Sport England’s Active Environments, Grant Assessment and Technical Facilities frameworks. We authored Sport England’s Playing Pitch Methodology Guidance (2013) and advised on ANOG (2015).
After this apprenticeship
The company may offer a full-time position at the end of the apprenticeship for the right candidate.
Ask a question
The contact for this apprenticeship is:
NOWSKILLS LIMITED
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC1000348755.
Apply now
Closes on Tuesday 2 December 2025
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