Summary
An opportunity to start your career through an Operational Data Administration apprenticeship. Based with our GB Hire team, Lingfield, you’ll provide administrative and data support across our service teams, organising information, supporting daily operations and maintaining accurate data to assist with reporting and analysing trends.
Wage
£19,000 a year
Annual Salary Review
Training course
Data technician (level 3)
Hours
Monday - Friday. Flexible approach to working hours (core hours 10.00am - 2.30 pm). Specific working pattern to be determined - dependent on the apprentice and team requirements.
36 hours 15 minutes a week
Start date
Monday 14 September 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
Assist in analysing data to help identify inefficiencies in service areas, including labour costs, cranage and energy usage.
Report on rectification trends to enable our teams to proactively maintain our building fleet.
Update SAP Records: Accurately input operative labour hours Refurbishment and Fitout costs are up to date.
Manage Job Documentation: Organise and archive "Job Packs," drawings, and building layouts.
Coordinate Rectifications: Log and track rectifications, ensuring information is captured for quality reporting.
Monitor the transport log communicate building movements and any changes to the team
Financial Admin: Raise and close Service orders, Monitor Planned vs Actual spend and highlight any issues.
Facility Coordination: Manage essential office tasks, including stationery ordering, canteen supplies, and booking travel or accommodation for the team.
Team Support: Assist with holiday tracking, training logs, and payroll data entry into the company Hub.
Safety Reporting: Record "Don't Walk By" (DWB) safety observations and assist in maintaining the Hire Centre Health & Safety board.
Equipment Compliance: Update and monitor records for PAT testing, forklift (FLT) inspections, and lifting equipment certs.
Excel Reporting: Use MS Excel to create simple tables and reports on service activity, labour trends.
Where you'll work
Portakabin Ltd
Unit 31, Hobbs Industrial Estate
Newchapel
Lingfield
RH7 6HN
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA LIMITED
Training course
Data technician (level 3)
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
Your apprenticeship will be delivered through a blended learning approach, supported by our learning provider, QA Limited. Our apprenticeship has been designed to support you at every stage of your development, and throughout the programme you will be stretched, challenged and fully supported by a business that is committed to your professional growth.
Throughout the duration of your apprenticeship you will be appointed a workplace mentor to support you with your learning.
Requirements
Essential qualifications
GCSE in:
* 3 x Non Specific (grade 4 - 9 (C - A*))
* English (grade 4-9 (C-A*))
* Maths (grade 4-9 (C-A*))
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
* Customer care skills
* Problem solving skills
* Presentation skills
* Administrative skills
* Number skills
* Analytical skills
* Logical
* Team working
* Initiative